<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">NS</journal-id><journal-title-group><journal-title>Natural Science</journal-title></journal-title-group><issn pub-type="epub">2150-4091</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ns.2020.128043</article-id><article-id pub-id-type="publisher-id">NS-101972</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject><subject> Chemistry&amp;Materials Science</subject><subject> Earth&amp;Environmental Sciences</subject><subject> Medicine&amp;Healthcare</subject><subject> Physics&amp;Mathematics</subject></subj-group></article-categories><title-group><article-title>
 
 
  The End of Our Earth Is Certainly to Come: “When”? and “Why”?
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kuo-Chen</surname><given-names>Chou</given-names></name><xref ref-type="aff" rid="aff1"><sub>1</sub></xref></contrib></contrib-group><aff id="aff1"><label>1</label><addr-line>Gordon Life Science Institute, Boston, Massachusetts, United States of America</addr-line></aff><pub-date pub-type="epub"><day>04</day><month>08</month><year>2020</year></pub-date><volume>12</volume><issue>08</issue><fpage>553</fpage><lpage>568</lpage><history><date date-type="received"><day>20,</day>	<month>July</month>	<year>2020</year></date><date date-type="rev-recd"><day>2,</day>	<month>August</month>	<year>2020</year>	</date><date date-type="accepted"><day>5,</day>	<month>August</month>	<year>2020</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Does the recent pandemic COVID-19 mean a very clear sign to eliminate our Earth? For such a “Living” and “Dying” problem, the answers from both “Atheists” and “Christians” are exactly the same. What we addressed here are of “When”? and “Why”?
 
</p></abstract><kwd-group><kwd>Coronavirus</kwd><kwd> Pandemic COVID-19</kwd><kwd> Atheists</kwd><kwd> Christians</kwd><kwd> Internet Institutes</kwd><kwd> Johann Pachelbel</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. INTRODUCTION</title><p>As of August-01-2020, nearly all the countries on the Earth have been affected by the Pandemic COVID-19: for USA alone the total number of the cases reported is 4,666,351 of which 155,930 leading to deaths. For United Kingdom, the corresponding numbers concerned are 303,952 and 46,119, respectively.</p></sec><sec id="s2"><title>2. FACTS AND DISCUSSIONS</title><p>Its killing power is much stronger than the “Atomic Bomb” detonated over Japanese city of Hiroshima on August 6, 1945. The bombing killed 129,000 people.</p><p>It is also much more terrified than the Terrorists Attack on September 11, 2001 (often referred to “911”). The 911 attack resulted in 2977 fatalities, over 25,000 injuries, and substantial long-term health consequences.</p><p>The number of deaths in USA alone caused by the COVOD-19 has also significantly exceeded its military persons killed in any of its wars in history.</p><p>For the so-called “Atheists”, including “Karl Max” and “Friedrich Engels” who are the founders of Communism theory, have stated in their books: “there is a Beginning, there must be an End”, clearly indicating: “the Earth will eventually collide into some other planet and be completely crushed”.</p><p>According to Bible, however, when our earth is close to its End, the following will be seen: “nation will rise against nation, and kingdom against kingdom. There will be great earthquakes, famines and pestilences in various places, and fearful events and great signs from Heaven.”</p><p>Johann Pachelbel is one of the greatest composers. A tune composed by him has been played most frequently and constantly in the world. By choosing that very beautiful tune as the harmony, some female singers have been anxiously asking God of the two questions: “Why”? and “When”? The 1st question is about why there is the End of World” while the 2nd question is about when it will come true”.</p><p>Now the answers to the two questions are very clear. Right before the World-End, Jesus will send out his angels to weed out those who are sin, evil and wicked. They will be thrown by the angels into the fiery furnace, where they will be weeping and gnashing of teeth. In contrast to this, the righteous will be raised to the Heaven.</p><p>Pestilences or Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome, which was first identified in December 2019 in Wuhan, Hubei, China. After April 2020 and causing about 4000 deaths, although no remarkable infectious cases reported in Wuhan. Unfortunately, the 2<sup>nd</sup>-wave coronavirus diseases have been also identified on Beijing during May 2020. This kind of originally from “East-Globe” or “Eastern hemisphere” to “West “Globe” or “Western Hemisphere” and then kicked back from the West to the East again, very much like playing “Tennis”, “Ping-Pong” or “Badminton” ball. The extremely dangerous ball is none but “Coronavirus” or “Pestilences”.</p><p>Since all the scientists working in a sharing laboratory of the Universities or most conversional Institutes must wear masks except those working in the “Internet Institute” (<xref ref-type="fig" rid="fig1">Figure 1</xref>) such as the “Gordon Life Scient Institute” [1-3]. And the results thus obtained will be of real usage for the other planet as indicated in [<xref ref-type="bibr" rid="scirp.101972-ref4">4</xref>].</p><p>Such expectation with deep belief has been widely and increasingly supported by many papers from different angles, corners, or aspects, particularly for the works based on the idea of “Pseudo Amino Acid Composition” or PseAAC” [5-80], the works based on the “5-steps Rule” [5-84], the works based on the “Wenxiang Diagram” [85-87], the works on the “HIV protease inhibitor prediction” [88-112], the works on the Post-translational modification (PTM) [113-122], the works on enzyme kinetics [123-152], the works on the protein subcellular location prediction [153-212], the works on enzyme kinetics [123-152], and the works on “Graphic Rules” [130,134,136,138-141,213-219].</p><p>Using graphic approaches to study biological and medical systems can provide an intuitive vision and useful insights for helping analyze complicated relations therein as shown by the eight master pieces of pioneering papers from the then Chairman of Nobel Prize Committee StureForsen [132,213-215,220-223] and many follow-up papers. This kind of insightful implication had been also demonstrated in [130,224] and many follow-up publications [85,86,89-91,96,99,121,139,140,194,195,217,225-263]. They are very useful for in-depth investigation into the topic of the current paper, and we will use them in our future efforts.</p></sec><sec id="s3"><title>3. CONCLUSIONS</title><p>After several waves of the killings as described in the Section 2, the speed to reach the End of our Earth will be accelerated exponentially. Within such a short period of time, it is the most effective and appropriate to acquire useful scientific knowledge via the “Internet Institutes”.</p></sec><sec id="s4"><title>CONFLICTS OF INTEREST</title><p>The author declares no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s5"><title>REFERENCES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.101972-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">K.C. 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Chou, The kinetics of the combination reaction between enzyme and substrate, Scientia Sinica, 19 (1976) 505-528.</mixed-citation></ref><ref id="scirp.101972-ref127"><label>127</label><mixed-citation publication-type="other" xlink:type="simple">T.T. Li, K.C. Chou, The quantitative relations between diffusion-controlled reaction rate and characteristic parameters in enzyme-substrate reaction system: 1. Neutral substrates, Scientia Sinica, 19 (1976) 117-136.</mixed-citation></ref><ref id="scirp.101972-ref128"><label>128</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, The kinetics of the combination reaction between enzyme and substrate: 1. Stochastic analysis, activation energy and multiple-active-site, Acta Biochimica et Biophysica Sinica, 9 (1977) 79-94.</mixed-citation></ref><ref id="scirp.101972-ref129"><label>129</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, The kinetics of the combination reaction between enzyme and substrate: 2. Multi-barrier reaction and measuring signal, Acta Biochimica et Biophysica Sinica, 9 (1977) 175-186.</mixed-citation></ref><ref id="scirp.101972-ref130"><label>130</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, S.P. Jiang, W.M. Liu, C.H. Fee, Graph theory of enzyme kinetics: 1. Steady-state reaction system, Scientia Sinica, 22 (1979) 341-358.</mixed-citation></ref><ref id="scirp.101972-ref131"><label>131</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, A new schematic method in enzyme kinetics, Eur. J. Biochem., 113 (1980) 195-198.</mixed-citation></ref><ref id="scirp.101972-ref132"><label>132</label><mixed-citation publication-type="other" xlink:type="simple">T.T. Li, K.C. Chou, S. Forsen, The flow of substrate molecules in fast enzyme-catalyzed reaction systems, Chemica Scripta, 16 (1980) 192-196.</mixed-citation></ref><ref id="scirp.101972-ref133"><label>133</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Two new schematic rules for rate laws of enzyme-catalyzed reactions, J. Theor. Biol., 89 (1981) 581-592.</mixed-citation></ref><ref id="scirp.101972-ref134"><label>134</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, A new graphical rule for rate laws of enzyme reactions with branched pathways, Canadian Journal of Biochemistry, 59 (1981) 757-761.</mixed-citation></ref><ref id="scirp.101972-ref135"><label>135</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, T.T. Li, G.Q. Zhou, A semi-analytical expression for the concentration distribution of substrate molecules in fast, enzyme-catalyzed reaction systems, Biochim. Biophys. Acta, 657 (1981) 304-308.</mixed-citation></ref><ref id="scirp.101972-ref136"><label>136</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, W.M. Liu, Graphical rules for non-steady state enzyme kinetics, J. Theor. Biol., 91 (1981) 637-654.</mixed-citation></ref><ref id="scirp.101972-ref137"><label>137</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, G.P. Zhou, Role of the protein outside active site on the diffusion-controlled reaction of enzyme, Journal of American Chemical Society, 104 (1982) 1409-1413.</mixed-citation></ref><ref id="scirp.101972-ref138"><label>138</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Advances in graphical methods of enzyme kinetics, Biophysical Chemistry, 17 (1983) 51-55.</mixed-citation></ref><ref id="scirp.101972-ref139"><label>139</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Graphic rules in steady and non-steady enzyme kinetics, J. Biol. Chem., 264 (1989) 12074-12079.</mixed-citation></ref><ref id="scirp.101972-ref140"><label>140</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Review: Applications of graph theory to enzyme kinetics and protein folding kinetics. Steady and non-steady state systems, Biophysical Chemistry, 35 (1990) 1-24.</mixed-citation></ref><ref id="scirp.101972-ref141"><label>141</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Graphic rule for non-steady-state enzyme kinetics and protein folding kinetics, Journal of Mathematical Chemistry, 12 (1993) 97-108.</mixed-citation></ref><ref id="scirp.101972-ref142"><label>142</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, D.W. Elrod, Prediction of enzyme family classes, Journal of Proteome Research, 2 (2003) 183-190.</mixed-citation></ref><ref id="scirp.101972-ref143"><label>143</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Y.D. Cai, A novel approach to predict active sites of enzyme molecules, Proteins: Struct., Funct., Genet., 55 (2004) 77-82.</mixed-citation></ref><ref id="scirp.101972-ref144"><label>144</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Y.D. Cai, Predicting enzyme family class in a hybridization space, Protein Science, 13 (2004) 2857-2863.</mixed-citation></ref><ref id="scirp.101972-ref145"><label>145</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Y.D. Cai, Using GO-PseAA predictor to predict enzyme sub-class, Biochemical and Biophysical Research Communications (BBRC), 325 (2004) 506-509.</mixed-citation></ref><ref id="scirp.101972-ref146"><label>146</label><mixed-citation publication-type="other" xlink:type="simple">Y.D. Cai, K.C. Chou, Using functional domain composition to predict enzyme family classes, Journal of Proteome Research, 4 (2005) 109-111.</mixed-citation></ref><ref id="scirp.101972-ref147"><label>147</label><mixed-citation publication-type="other" xlink:type="simple">Y.D. Cai, K.C. Chou, Predicting enzyme subclass by functional domain composition and pseudo amino acid composition, Journal of Proteome Research, 4 (2005) 967-971.</mixed-citation></ref><ref id="scirp.101972-ref148"><label>148</label><mixed-citation publication-type="other" xlink:type="simple">Y.D. Cai, G.P. Zhou, K.C. Chou, Predicting enzyme family classes by hybridizing gene product composition and pseudo amino acid composition, J. Theor. Biol., 234 (2005) 145-149.</mixed-citation></ref><ref id="scirp.101972-ref149"><label>149</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes, Bioinformatics, 21 (2005) 10-19.</mixed-citation></ref><ref id="scirp.101972-ref150"><label>150</label><mixed-citation publication-type="other" xlink:type="simple">H.B. Shen, K.C. Chou, EzyPred: A top-down approach for predicting enzyme functional classes and subclasses, Biochem Biophys Res Comm (BBRC), 364 (2007) 53-59.</mixed-citation></ref><ref id="scirp.101972-ref151"><label>151</label><mixed-citation publication-type="other" xlink:type="simple">H. Wei, R. Zhang, C. Wang, H. Zheng, K.C. Chou, D.Q. Wei, Molecular insights of SAH enzyme catalysis and their implication for inhibitor design, J. Theor. Biol., 244 (2007) 692-702.</mixed-citation></ref><ref id="scirp.101972-ref152"><label>152</label><mixed-citation publication-type="other" xlink:type="simple">J.L. Min, X. Xiao, K.C. Chou, iEzy-Drug: A web server for identifying the interaction between enzymes and drugs in cellular networking, BioMed Research International (BMRI), 2013 (2013) 701317.</mixed-citation></ref><ref id="scirp.101972-ref153"><label>153</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, D.W. Elrod, Using discriminant function for prediction of subcellular location of prokaryotic proteins, Biochem Biophys Res Commun (BBRC), 252 (1998) 63-68.</mixed-citation></ref><ref id="scirp.101972-ref154"><label>154</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, D.W. Elrod, Protein subcellular location prediction, Protein Eng., 12 (1999) 107-118.</mixed-citation></ref><ref id="scirp.101972-ref155"><label>155</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, D.W. Elrod, Prediction of membrane protein types and subcellular locations, Proteins: Struct., Funct., Genet., 34 (1999) 137-153.</mixed-citation></ref><ref id="scirp.101972-ref156"><label>156</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Review: Prediction of protein structural classes and subcellular locations, Current Protein and Peptide Science, 1 (2000) 171-208.</mixed-citation></ref><ref id="scirp.101972-ref157"><label>157</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Prediction of protein subcellular locations by incorporating quasi-sequence-order effect, Biochem Biophys Res Comm (BBRC), 278 (2000) 477-483.</mixed-citation></ref><ref id="scirp.101972-ref158"><label>158</label><mixed-citation publication-type="other" xlink:type="simple">Y.D. Cai, X.J. Liu, X.B. Xu, K.C. Chou, Support vector machines for prediction of protein subcellular location by incorporating quasi-sequence-order effect, J. Cell. Biochem., 84 (2002) 343-348.</mixed-citation></ref><ref id="scirp.101972-ref159"><label>159</label><mixed-citation publication-type="other" xlink:type="simple">Y.D. Cai, K.C. Chou, Nearest neighbour algorithm for predicting protein subcellular location by combining functional domain composition and pseudo amino acid composition, Biochem Biophys Res Comm (BBRC), 305 (2003) 407-411.</mixed-citation></ref><ref id="scirp.101972-ref160"><label>160</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Y.D. Cai, Prediction and classification of protein subcellular location: sequence-order effect and pseudo amino acid composition, Journal of Cellular Biochemistry (Addendum, ibid. 2004, 91, 1085), 90 (2003) 1250-1260.</mixed-citation></ref><ref id="scirp.101972-ref161"><label>161</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Y.D. Cai, Prediction of protein subcellular locations by GO-FunD-PseAA predicor, Biochemical and Biophysical Research Communications (BBRC), 320 (2004) 1236-1239.</mixed-citation></ref><ref id="scirp.101972-ref162"><label>162</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Y.D. Cai, Predicting subcellular localization of proteins by hybridizing functional domain composition and pseudo amino acid composition, J. Cell. Biochem., 91 (2004) 1197-1203.</mixed-citation></ref><ref id="scirp.101972-ref163"><label>163</label><mixed-citation publication-type="other" xlink:type="simple">Y. Gao, S.H. Shao, X. Xiao, Y.S. Ding, Y.S. Huang, Z.D. Huang, K.C. Chou, Using pseudo amino acid composition to predict protein subcellular location: approached with Lyapunov index, Bessel function, and Chebyshev filter, Amino Acids, 28 (2005) 373-376.</mixed-citation></ref><ref id="scirp.101972-ref164"><label>164</label><mixed-citation publication-type="other" xlink:type="simple">X. Xiao, S. Shao, Y. Ding, Z. Huang, Y. Huang, K.C. Chou, Using complexity measure factor to predict protein subcellular location, Amino Acids, 28 (2005) 57-61.</mixed-citation></ref><ref id="scirp.101972-ref165"><label>165</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, H.B. Shen, Predicting protein subcellular location by fusing multiple classifiers, J. Cell. Biochem., 99 (2006) 517-527.</mixed-citation></ref><ref id="scirp.101972-ref166"><label>166</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, H.B. Shen, Hum-PLoc: A novel ensemble classifier for predicting human protein subcellular localization, Biochem. Biophys. Res. Commun. (BBRC), 347 (2006) 150-157.</mixed-citation></ref><ref id="scirp.101972-ref167"><label>167</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, H.B. Shen, Predicting eukaryotic protein subcellular location by fusing optimized evidence-theoretic K-nearest neighbor classifiers, Journal of Proteome Research, 5 (2006) 1888-1897.</mixed-citation></ref><ref id="scirp.101972-ref168"><label>168</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, H.B. Shen, Addendum to “Hum-PLoc: A novel ensemble classifier for predicting human protein subcellular localization”, Biochem. Biophys. Res. Commun. (BBRC), 348 (2006) 1479.</mixed-citation></ref><ref id="scirp.101972-ref169"><label>169</label><mixed-citation publication-type="other" xlink:type="simple">X. Xiao, S.H. Shao, Y.S. Ding, Z.D. Huang, K.C. Chou, Using cellular automata images and pseudo amino acid composition to predict protein subcellular location, Amino Acids, 30 (2006) 49-54.</mixed-citation></ref><ref id="scirp.101972-ref170"><label>170</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, H.B. Shen, Euk-mPLoc: a fusion classifier for large-scale eukaryotic protein subcellular location prediction by incorporating multiple sites, Journal of Proteome Research, 6 (2007) 1728-1734.</mixed-citation></ref><ref id="scirp.101972-ref171"><label>171</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, H.B. Shen, Recent progresses in protein subcellular location prediction, Anal. Biochem., 370 (2007) 1-16.</mixed-citation></ref><ref id="scirp.101972-ref172"><label>172</label><mixed-citation publication-type="other" xlink:type="simple">H.B. Shen, K.C. Chou, Gpos-PLoc: an ensemble classifier for predicting subcellular localization of Gram-positive bacterial proteins, Protein Engineering, Design, and Selection, 20 (2007) 39-46.</mixed-citation></ref><ref id="scirp.101972-ref173"><label>173</label><mixed-citation publication-type="other" xlink:type="simple">H.B. Shen, J. Yang, K.C. Chou, Review: Methodology development for predicting subcellular localization and other attributes of proteins, Expert Review of Proteomics, 4 (2007) 453-463.</mixed-citation></ref><ref id="scirp.101972-ref174"><label>174</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, H.B. Shen, Cell-PLoc: A package of Web servers for predicting subcellular localization of proteins in various organisms, Nature Protocols, 3 (2008) 153-162.</mixed-citation></ref><ref id="scirp.101972-ref175"><label>175</label><mixed-citation publication-type="other" xlink:type="simple">H.B. Shen, K.C. Chou, A top-down approach to enhance the power of predicting human protein subcellular localization: Hum-mPLoc 2.0, Anal. Biochem., 394 (2009) 269-274.</mixed-citation></ref><ref id="scirp.101972-ref176"><label>176</label><mixed-citation publication-type="other" xlink:type="simple">H.B. Shen, K.C. Chou, Gpos-mPLoc: A top-down approach to improve the quality of predicting subcellular localization of Gram-positive bacterial proteins, Protein &amp; Peptide Letters, 16 (2009) 1478-1484.</mixed-citation></ref><ref id="scirp.101972-ref177"><label>177</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, H.B. Shen, Cell-PLoc 2.0: An improved package of web-servers for predicting subcellular localization of proteins in various organisms, Natural Science, 2 (2010) 1090-1103.</mixed-citation></ref><ref id="scirp.101972-ref178"><label>178</label><mixed-citation publication-type="other" xlink:type="simple">H.B. Shen, K.C. Chou, Gneg-mPLoc: A top-down strategy to enhance the quality of predicting subcellular localization of Gram-negative bacterial proteins, Journal of Theoretical Biology, 264 (2010) 326-333.</mixed-citation></ref><ref id="scirp.101972-ref179"><label>179</label><mixed-citation publication-type="other" xlink:type="simple">S.B. Wan, L.L. Hu, S. Niu, K. Wang, Y.D. Cai, K.C. Chou, Identification of multiple subcellular locations for proteins in budding yeast, Current Bioinformatics, 6 (2011) 71-80.</mixed-citation></ref><ref id="scirp.101972-ref180"><label>180</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Z.C. Wu, X. Xiao, iLoc-Hum: Using accumulation-label scale to predict subcellular locations of human proteins with both single and multiple sites, Molecular Biosystems, 8 (2012) 629-641.</mixed-citation></ref><ref id="scirp.101972-ref181"><label>181</label><mixed-citation publication-type="other" xlink:type="simple">W.Z. Lin, J.A. Fang, X. Xiao, K.C. Chou, iLoc-Animal: A multi-label learning classifier for predicting subcellular localization of animal proteins Molecular BioSystems, 9 (2013) 634-644.</mixed-citation></ref><ref id="scirp.101972-ref182"><label>182</label><mixed-citation publication-type="other" xlink:type="simple">X. Cheng, X. Xiao, K.C. Chou, pLoc-mPlant: predict subcellular localization of multi-location plant proteins via incorporating the optimal GO information into general PseAAC, Molecular BioSystems, 13 (2017) 1722-1727.</mixed-citation></ref><ref id="scirp.101972-ref183"><label>183</label><mixed-citation publication-type="other" xlink:type="simple">X. Cheng, X. Xiao, K.C. Chou, pLoc-mVirus: predict subcellular localization of multi-location virus proteins via incorporating the optimal GO information into general PseAAC, Gene (Erratum: ibid., 2018, Vol.644, 156-156), 628 (2017) 315-321.</mixed-citation></ref><ref id="scirp.101972-ref184"><label>184</label><mixed-citation publication-type="other" xlink:type="simple">X. Cheng, S.G. Zhao, W.Z. Lin, X. Xiao, K.C. Chou, pLoc-mAnimal: predict subcellular localization of animal proteins with both single and multiple sites, Bioinformatics, 33 (2017) 3524-3531.</mixed-citation></ref><ref id="scirp.101972-ref185"><label>185</label><mixed-citation publication-type="other" xlink:type="simple">X. Xiao, X. Cheng, S. Su, Q. Nao, K.C. Chou, pLoc-mGpos: Incorporate key gene ontology information into general PseAAC for predicting subcellular localization of Gram-positive bacterial proteins, Natural Science, 9 (2017) 330-349.</mixed-citation></ref><ref id="scirp.101972-ref186"><label>186</label><mixed-citation publication-type="other" xlink:type="simple">X. Cheng, X. Xiao, K.C. Chou, pLoc-mEuk: Predict subcellular localization of multi-label eukaryotic proteins by extracting the key GO information into general PseAAC, Genomics, 110 (2018) 50-58.</mixed-citation></ref><ref id="scirp.101972-ref187"><label>187</label><mixed-citation publication-type="other" xlink:type="simple">X. Cheng, X. Xiao, K.C. Chou, pLoc-mGneg: Predict subcellular localization of Gram-negative bacterial proteins by deep gene ontology learning via general PseAAC, Genomics, 110 (2018) 231-239.</mixed-citation></ref><ref id="scirp.101972-ref188"><label>188</label><mixed-citation publication-type="other" xlink:type="simple">X. Cheng, X. Xiao, K.C. Chou, pLoc-mHum: predict subcellular localization of multi-location human proteins via general PseAAC to winnow out the crucial GO information, Bioinformatics, 34 (2018) 1448-1456.</mixed-citation></ref><ref id="scirp.101972-ref189"><label>189</label><mixed-citation publication-type="other" xlink:type="simple">X. Cheng, X. Xiao, K.C. Chou, pLoc_bal-mGneg: predict subcellular localization of Gram-negative bacterial proteins by quasi-balancing training dataset and general PseAAC, Journal of Theoretical Biology, 458 (2018) 92-102.</mixed-citation></ref><ref id="scirp.101972-ref190"><label>190</label><mixed-citation publication-type="other" xlink:type="simple">X. Cheng, X. Xiao, K.C. Chou, pLoc_bal-mPlant: predict subcellular localization of plant proteins by general PseAAC and balancing training dataset Curr Pharm Des, 24 (2018) 4013-4022.</mixed-citation></ref><ref id="scirp.101972-ref191"><label>191</label><mixed-citation publication-type="other" xlink:type="simple">Z.D. Su, Y. Huang, Z.Y. Zhang, Y.W. Zhao, D. Wang, W. Chen, K.C. Chou, H. Lin, iLoc-lncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC, Bioinformatics, 34 (2018) 4196-4204.</mixed-citation></ref><ref id="scirp.101972-ref192"><label>192</label><mixed-citation publication-type="other" xlink:type="simple">X. Cheng, W.Z. Lin, X. Xiao, K.C. Chou, pLoc_bal-mAnimal: predict subcellular localization of animal proteins by balancing training dataset and PseAAC, Bioinformatics, 35 (2019) 398-406.</mixed-citation></ref><ref id="scirp.101972-ref193"><label>193</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Advance in predicting subcellular localization of multi-label proteins and its implication for developing multi-target drugs, Current Medicinal Chemistry 26 (2019) 4918-4943.</mixed-citation></ref><ref id="scirp.101972-ref194"><label>194</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Recent progresses in predicting protein subcellular localization with artificial intelligence tools developed via the 5-steps rule, Medicinal Chemistry, Submitted (2019).</mixed-citation></ref><ref id="scirp.101972-ref195"><label>195</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, An insightful recollection for predicting protein subcellular locations in multi-label systems, Natural Science, (2019).</mixed-citation></ref><ref id="scirp.101972-ref196"><label>196</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Recent Progresses in Predicting Protein Subcellular Localization with Artificial Intelligence (AI) Tools Developed Via the 5-Steps Rule, Japanese Journal of Gastroenterology and Hepatology  
https://www.jjgastrohepto.org/v2issue4.php 2(2019) 1-4.</mixed-citation></ref><ref id="scirp.101972-ref197"><label>197</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, The pLoc_bal-mPlant is a Powerful Artificial Intelligence Tool for Predicting the Subcellular Localization of Plant Proteins Purely based on their Sequence Information, Int J Nutr Sci., 4 (2019) 1-4.</mixed-citation></ref><ref id="scirp.101972-ref198"><label>198</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, The pLoc_bal-mPlant is a powerful artificial intelligence tool for predicting the subcellular localization of plant proteins purely based on their sequence information, J Stem Cell Res Med, 4 (2019) 1-4.</mixed-citation></ref><ref id="scirp.101972-ref199"><label>199</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, The pLoc_bal-mAnimal is a powerful artificial intelligence tool for predicting the subcellular localization of animal proteins based on their sequence information alone, Scientific Journal of Biometrics &amp; Biostatistics, 2 (2019) 1-13.</mixed-citation></ref><ref id="scirp.101972-ref200"><label>200</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, X. Cheng, X. Xiao, pLoc_bal-mHum: predict subcellular localization of human proteins by PseAAC and quasi-balancing training dataset Genomics, 111 (2019) 1274-1282.</mixed-citation></ref><ref id="scirp.101972-ref201"><label>201</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, X. Cheng, X. Xiao, pLoc_bal-mEuk: predict subcellular localization of eukaryotic proteins by general PseAAC and quasi-balancing training dataset, Med Chem, 15 (2019) 472-485.</mixed-citation></ref><ref id="scirp.101972-ref202"><label>202</label><mixed-citation publication-type="other" xlink:type="simple">X. Xiao, X. Cheng, G. Chen, Q. Mao, K.C. Chou, pLoc_bal-mGpos: predict subcellular localization of Gram-positive bacterial proteins by quasi-balancing training dataset and PseAAC, Genomics, 111 (2019) 886-892.</mixed-citation></ref><ref id="scirp.101972-ref203"><label>203</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, The pLoc_bal-mGneg Predictor is a Powerful Web-Server for Identifying the Subcellular Localization of Gram-Negative Bacterial Proteins based on their Sequences Information Alone, ijSci, 9 (2020) 27-34.</mixed-citation></ref><ref id="scirp.101972-ref204"><label>204</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, The pLoc_bal-mVirus is a powerful artificial intelligence tool for predicting the subcellular localization of virus proteins according to their sequence information alone, J Gent &amp; Genome, 4 (2020).</mixed-citation></ref><ref id="scirp.101972-ref205"><label>205</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, The pLoc_bal-mHum is a Powerful Web-Serve for Predicting the Subcellular Localization of Human Proteins Purely Based on Their Sequence Information, Adv Bioeng Biomed Sci Res, 3 (2020) 1-5.</mixed-citation></ref><ref id="scirp.101972-ref206"><label>206</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, The pLoc_bal-mGpos is a powerful artificial intelligence tool for predicting the subcellular localization of Gram-positive bacterial proteins according to their sequence information alone, Glo J of Com Sci and Infor Tec, 2 (2020) 01-13.</mixed-citation></ref><ref id="scirp.101972-ref207"><label>207</label><mixed-citation publication-type="other" xlink:type="simple">X.X. Liu, K.C. Chou, pLoc_Deep-mGneg: predict subcellular localization of Gram negative bacterial proteins by deep learning Advances in Bioscience and Biotechnology (ABB) 11 (2020) 141-152.</mixed-citation></ref><ref id="scirp.101972-ref208"><label>208</label><mixed-citation publication-type="other" xlink:type="simple">Y.H. Shao, K.C. Chou, pLoc_Deep-mVirus: A CNN Model for Predicting Subcellular Localization of Virus Proteins by Deep Learning, Natural Science, 12 (2020) 1-12.</mixed-citation></ref><ref id="scirp.101972-ref209"><label>209</label><mixed-citation publication-type="other" xlink:type="simple">Y.T. Shao, K.C. Chou, pLoc_Deep-mEuk: predict subcellular localization of eukaryotic proteins by deep learning Natural Science, 12 (2020) 1-29.</mixed-citation></ref><ref id="scirp.101972-ref210"><label>210</label><mixed-citation publication-type="other" xlink:type="simple">Y.T. Shao, K.C. Chou, pLoc_Deep-mAnimal: A Novel Deep CNN-BLSTM Network to Predict Subcellular Localization of Animal Proteins Natural Science, 12 (2020) 281-291.</mixed-citation></ref><ref id="scirp.101972-ref211"><label>211</label><mixed-citation publication-type="other" xlink:type="simple">Y.T. Shao, X.X. Liu, Z. Lu, K.C. Chou, pLoc_Deep-mHum: predict subcellular localization of human proteins by deep learning Natural Science, 12 (2020) 526-547.</mixed-citation></ref><ref id="scirp.101972-ref212"><label>212</label><mixed-citation publication-type="other" xlink:type="simple">Y.T. Shao, X.X. Liu, Z. Lu, K.C. Chou, pLoc_Deep-mPlant: predict subcellular localization of plant proteins by deep learning Natural Science 12 (2020) 237-247.</mixed-citation></ref><ref id="scirp.101972-ref213"><label>213</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, S. Forsen, Graphical rules for enzyme-catalyzed rate laws, Biochem. J., 187 (1980) 829-835.</mixed-citation></ref><ref id="scirp.101972-ref214"><label>214</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, R.E. Carter, S. Forsen, A new graphical method for deriving rate equations for complicated mechanisms, Chemica Scripta, 18 (1981) 82-86.</mixed-citation></ref><ref id="scirp.101972-ref215"><label>215</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, S. Forsen, Graphical rules of steady-state reaction systems, Can. J. Chem., 59 (1981) 737-755.</mixed-citation></ref><ref id="scirp.101972-ref216"><label>216</label><mixed-citation publication-type="other" xlink:type="simple">C.T. Zhang, K.C. Chou, Graphic analysis of codon usage strategy in 1490 human proteins, J. Protein Chem., 12 (1993) 329-335.</mixed-citation></ref><ref id="scirp.101972-ref217"><label>217</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Graphic rule for drug metabolism systems, Current Drug Metabolism, 11 (2010) 369-378.</mixed-citation></ref><ref id="scirp.101972-ref218"><label>218</label><mixed-citation publication-type="other" xlink:type="simple">Z.C. Wu, X. Xiao, K.C. Chou, 2D-MH: A web-server for generating graphic representation of protein sequences based on the physicochemical properties of their constituent amino acids, J. Theor. Biol., 267 (2010) 29-34.</mixed-citation></ref><ref id="scirp.101972-ref219"><label>219</label><mixed-citation publication-type="other" xlink:type="simple">T. Huang, L. Chen, Y.D. Cai, K.C. Chou, Classification and analysis of regulatory pathways using graph property, biochemical and physicochemical property, and functional property, PLoS ONE, 6 (2011) e25297.</mixed-citation></ref><ref id="scirp.101972-ref220"><label>220</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, S. Forsen, Diffusion-controlled effects in reversible enzymatic fast reaction system: Critical spherical shell and proximity rate constants, Biophysical Chemistry, 12 (1980) 255-263.</mixed-citation></ref><ref id="scirp.101972-ref221"><label>221</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, S. Forsen, G.Q. Zhou, Three schematic rules for deriving apparent rate constants, Chemica Scripta, 16 (1980) 109-113.</mixed-citation></ref><ref id="scirp.101972-ref222"><label>222</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, T.T. Li, S. Forsen, The critical spherical shell in enzymatic fast reaction systems, Biophysical Chemistry, 12 (1980) 265-269.</mixed-citation></ref><ref id="scirp.101972-ref223"><label>223</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, N.Y. Chen, S. Forsen, The biological functions of low-frequency phonons: 2. Cooperative effects, Chemica Scripta, 18 (1981) 126-132.</mixed-citation></ref><ref id="scirp.101972-ref224"><label>224</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, N.Y. Chen, The biological functions of low-frequency phonons, Scientia Sinica, 20 (1977) 447-457.</mixed-citation></ref><ref id="scirp.101972-ref225"><label>225</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Low-frequency vibrations of helical structures in protein molecules, Biochem. J., 209 (1983) 573-580.</mixed-citation></ref><ref id="scirp.101972-ref226"><label>226</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Identification of low-frequency modes in protein molecules, Biochem. J., 215 (1983) 465-469.</mixed-citation></ref><ref id="scirp.101972-ref227"><label>227</label><mixed-citation publication-type="other" xlink:type="simple">G.P. Zhou, M.H. Deng, An extension of Chou’s graphic rules for deriving enzyme kinetic equations to systems involving parallel reaction pathways, Biochem. J., 222 (1984) 169-176.</mixed-citation></ref><ref id="scirp.101972-ref228"><label>228</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Biological functions of low-frequency vibrations ( phonons). 3. Helical structures and microenvironment, Biophys. J., 45 (1984) 881-889.</mixed-citation></ref><ref id="scirp.101972-ref229"><label>229</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, The biological functions of low-frequency phonons. 4. Resonance effects and allosteric transition, Biophysical Chemistry, 20 (1984) 61-71.</mixed-citation></ref><ref id="scirp.101972-ref230"><label>230</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Low-frequency vibrations of DNA molecules, Biochem. J., 221 (1984) 27-31.</mixed-citation></ref><ref id="scirp.101972-ref231"><label>231</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Low-frequency motions in protein molecules: beta-sheet and beta-barrel, Biophys. J., 48 (1985) 289-297.</mixed-citation></ref><ref id="scirp.101972-ref232"><label>232</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Prediction of a low-frequency mode in bovine pancreatic trypsin inhibitor molecule, International Journal of Biological Macromolecules, 7 (1985) 77-80.</mixed-citation></ref><ref id="scirp.101972-ref233"><label>233</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Y.S. Kiang, The biological functions of low-frequency phonons: 5. A phenomenological theory, Biophysical Chemistry, 22 (1985) 219-235.</mixed-citation></ref><ref id="scirp.101972-ref234"><label>234</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Origin of low-frequency motion in biological macromolecules: A view of recent progress of quasi-continuity model, Biophysical Chemistry, 25 (1986) 105-116.</mixed-citation></ref><ref id="scirp.101972-ref235"><label>235</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, The biological functions of low-frequency phonons: 6. A possible dynamic mechanism of allosteric transition in antibody molecules, Biopolymers, 26 (1987) 285-295.</mixed-citation></ref><ref id="scirp.101972-ref236"><label>236</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Review: Low-frequency collective motion in biomacromolecules and its biological functions, Biophysical Chemistry, 30 (1988) 3-48.</mixed-citation></ref><ref id="scirp.101972-ref237"><label>237</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, G.M. Maggiora, The biological functions of low-frequency phonons: 7. The impetus for DNA to accommodate intercalators, British Polymer Journal, 20 (1988) 143-148.</mixed-citation></ref><ref id="scirp.101972-ref238"><label>238</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Low-frequency resonance and cooperativity of hemoglobin, Trends Biochem. Sci., 14 (1989) 212-213.</mixed-citation></ref><ref id="scirp.101972-ref239"><label>239</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, G.M. Maggiora, B. Mao, Quasi-continuum models of twist-like and accordion-like low-frequency motions in DNA, Biophys. J., 56 (1989) 295-305.</mixed-citation></ref><ref id="scirp.101972-ref240"><label>240</label><mixed-citation publication-type="other" xlink:type="simple">I.W. Althaus, J.J. Chou, A.J. Gonzales, M.R. Diebel, K.C. Chou, F.J. Kezdy, D.L. Romero, R.C. Thomas, P.A. Aristoff, W.G. Tarpley, F. Reusser, Kinetic studies with the non-nucleoside human immunodeficiency virus type-1 reverse transcriptase inhibitor U-90152e, Biochem. Pharmacol., 47 (1994) 2017-2028.</mixed-citation></ref><ref id="scirp.101972-ref241"><label>241</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, F.J. Kezdy, F. Reusser, Review: Kinetics of processive nucleic acid polymerases and nucleases, Anal. Biochem., 221 (1994) 217-230.</mixed-citation></ref><ref id="scirp.101972-ref242"><label>242</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, C.T. Zhang, G.M. Maggiora, Solitary wave dynamics as a mechanism for explaining the internal motion during microtubule growth, Biopolymers, 34 (1994) 143-153.</mixed-citation></ref><ref id="scirp.101972-ref243"><label>243</label><mixed-citation publication-type="other" xlink:type="simple">H. Liu, M. Wang, K.C. Chou, Low-frequency Fourier spectrum for predicting membrane protein types, Biochem Biophys Res Commun (BBRC), 336 (2005) 737-739.</mixed-citation></ref><ref id="scirp.101972-ref244"><label>244</label><mixed-citation publication-type="other" xlink:type="simple">G. Gordon, Designed Electromagnetic Pulsed Therapy: Clinical Applications, J. Cell. Physiol., 212 (2007) 579-582.</mixed-citation></ref><ref id="scirp.101972-ref245"><label>245</label><mixed-citation publication-type="other" xlink:type="simple">J. Andraos, Kinetic plasticity and the determination of product ratios for kinetic schemes leading to multiple products without rate laws: new methods based on directed graphs, Can. J. Chem., 86 (2008) 342-357.</mixed-citation></ref><ref id="scirp.101972-ref246"><label>246</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, H.B. Shen, FoldRate: A web-server for predicting protein folding rates from primary sequence, The Open Bioinformatics Journal, 3 (2009) 31-50</mixed-citation></ref><ref id="scirp.101972-ref247"><label>247</label><mixed-citation publication-type="other" xlink:type="simple">H.B. Shen, J.N. Song, K.C. Chou, Prediction of protein folding rates from primary sequence by fusing multiple sequential features Journal of Biomedical Science and Engineering (JBiSE), 2 (2009) 136-143.</mixed-citation></ref><ref id="scirp.101972-ref248"><label>248</label><mixed-citation publication-type="other" xlink:type="simple">J.F. Wang, K.C. Chou, Insight into the molecular switch mechanism of human Rab5a from molecular dynamics simulations, Biochem Biophys Res Commun (BBRC), 390 (2009) 608-612.</mixed-citation></ref><ref id="scirp.101972-ref249"><label>249</label><mixed-citation publication-type="other" xlink:type="simple">G. Gordon, Extrinsic electromagnetic fields, low frequency (phonon) vibrations, and control of cell function: a non-linear resonance system, Journal of Biomedical Science and Engineering (JBiSE), 1 (2008) 152-156</mixed-citation></ref><ref id="scirp.101972-ref250"><label>250</label><mixed-citation publication-type="other" xlink:type="simple">A. Madkan, M. Blank, E. Elson, K.C. Chou, M.S. Geddis, R. Goodman, Steps to the clinic with ELF EMF Natural Science 1(2009) 157-165.</mixed-citation></ref><ref id="scirp.101972-ref251"><label>251</label><mixed-citation publication-type="other" xlink:type="simple">P. Lian, D.Q. Wei, J.F. Wang, K.C. Chou, An allosteric mechanism inferred from molecular dynamics simulations on phospholamban pentamer in lipid membranes, PLoS ONE, 6 (2011) e18587.</mixed-citation></ref><ref id="scirp.101972-ref252"><label>252</label><mixed-citation publication-type="other" xlink:type="simple">Q.H. Liao, Q.Z. Gao, J. Wei, K.C. Chou, Docking and Molecular Dynamics Study on the Inhibitory Activity of Novel Inhibitors on Epidermal Growth Factor Receptor (EGFR), Medicinal Chemistry, 7 (2011) 24-31.</mixed-citation></ref><ref id="scirp.101972-ref253"><label>253</label><mixed-citation publication-type="other" xlink:type="simple">J. Li, D.Q. Wei, J.F. Wang, Z.T. Yu, K.C. Chou, Molecular Dynamics Simulations of CYP2E1, Medicinal Chemistry, 8 (2012) 208-221.</mixed-citation></ref><ref id="scirp.101972-ref254"><label>254</label><mixed-citation publication-type="other" xlink:type="simple">J.F. Wang, K.C. Chou, Recent advances in computational studies on influenza a virus m2 proton channel, Mini Reviews in Medicinal Chemistry, 12 (2012) 971-978.</mixed-citation></ref><ref id="scirp.101972-ref255"><label>255</label><mixed-citation publication-type="other" xlink:type="simple">T. Zhang, D.Q. Wei, K.C. Chou, A Pharmacophore Model Specific to Active Site of CYP1A2 with a Novel Molecular Modeling Explorer and CoMFA, Medicinal Chemistry, 8 (2012) 198-207.</mixed-citation></ref><ref id="scirp.101972-ref256"><label>256</label><mixed-citation publication-type="other" xlink:type="simple">J. Jia, Z. Liu, X. Xiao, K.C. Chou, iPPI-Esml: an ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical properties and wavelet transforms into PseAAC, J. Theor. Biol., 377 (2015) 47-56.</mixed-citation></ref><ref id="scirp.101972-ref257"><label>257</label><mixed-citation publication-type="other" xlink:type="simple">J. Jia, Z. Liu, X. Xiao, B. Liu, K.C. Chou, Identification of protein-protein binding sites by incorporating the physicochemical properties and stationary wavelet transforms into pseudo amino acid composition (iPPBS-PseAAC), J Biomol Struct Dyn (JBSD) 34 (2016) 1946-1961.</mixed-citation></ref><ref id="scirp.101972-ref258"><label>258</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Proposing pseudo amino acid components is an important milestone for proteome and genome analyses (2019), International Journal for Peptide Research and Therapeutics (IJPRT) 26 (2019) 1085-1098.</mixed-citation></ref><ref id="scirp.101972-ref259"><label>259</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Impacts of pseudo amino acid components and 5-steps rule to proteomics and proteome analysis, Current Topics in Medicinak Chemistry (CTMC) (Special Issue ed. G.P Zhou), 19 (2019) 2283-2300.</mixed-citation></ref><ref id="scirp.101972-ref260"><label>260</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Coronavirus and Gordon Life Science Institute, Natural Science, 12 (2020) 429-440.</mixed-citation></ref><ref id="scirp.101972-ref261"><label>261</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, The Implication of “I Am the Alpha and the Omega” to Internet Institutes, Natural Science, 12 (2020) 482-494.</mixed-citation></ref><ref id="scirp.101972-ref262"><label>262</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, Noah’s Ark and Internet Institutes: When and Why?, Natural Science, 12 (2020) 470-481.</mixed-citation></ref><ref id="scirp.101972-ref263"><label>263</label><mixed-citation publication-type="other" xlink:type="simple">K.C. Chou, The Pandemic Pestilences and Internet Institutes, Natural Science, 12 (2020) 495-515.</mixed-citation></ref></ref-list></back></article>