<?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">JBM</journal-id><journal-title-group><journal-title>Journal of Biosciences and Medicines</journal-title></journal-title-group><issn pub-type="epub">2327-5081</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jbm.2022.105008</article-id><article-id pub-id-type="publisher-id">JBM-117311</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></subj-group></article-categories><title-group><article-title>
 
 
  Molecular Similarity within Carcinogen and Guanine Cyclic Nucleotide Structures
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wynford</surname><given-names>Robert Williams</given-names></name><xref ref-type="aff" rid="aff1"><sub>1</sub></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff1"><label>1</label><addr-line>Faculty of Life Sciences &amp;amp; Education, University of South Wales, Cardiff, UK</addr-line></aff><pub-date pub-type="epub"><day>09</day><month>05</month><year>2022</year></pub-date><volume>10</volume><issue>05</issue><fpage>86</fpage><lpage>94</lpage><history><date date-type="received"><day>4,</day>	<month>April</month>	<year>2022</year></date><date date-type="rev-recd"><day>22,</day>	<month>May</month>	<year>2022</year>	</date><date date-type="accepted"><day>25,</day>	<month>May</month>	<year>2022</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>
 
 
  Tumor promoters, apoptosis and autophagy modulators, chemotherapy drugs, and endogenous steroids demonstrate molecular similarity relative to cyclic nucleotide structure. This study explores relative molecular similarity within established human carcinogen structures using computational chemistry software. Molecular structures of conventional carcinogenic drugs and industrial agents demonstrate molecular similarity with a focus on the guanine base and nucleotide cyclized ring. Structures of volatile and gaseous anesthetic carcinogens do not conform to conventional 3-point pharmacophore-based fits characteristic of receptor-binding drugs. The results of this study provide some insight into how carcinogen structures may interact with endogenous compounds to disrupt cyclic nucleotide-driven homeostatic mechanisms.
 
</p></abstract><kwd-group><kwd>Anesthetics</kwd><kwd> Cancer</kwd><kwd> Carcinogens</kwd><kwd> Guanosine Cyclic Monophosphate</kwd><kwd> Molecular Similarity</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Purine nucleotides are enzyme substrates and receptor ligands of proteins with a crucial but poorly understood role in the development and regulation of cancer cells.</p><p>Guanine and adenine nucleotides participate in cyclical phosphate exchange and nucleotide-cyclic nucleotide transition mechanisms, facilitating cell signal transduction and maintaining energy and ion balances. Deregulation of these mechanisms may initiate carcinogenicity, or homeostatic mechanisms may go awry when cells become cancerous. Down-regulation in cGMP and phosphokinase activity, observed in cancer cell lines, relate to an up-regulation in phosphodiesterase (PDE) activity in cancer patients [<xref ref-type="bibr" rid="scirp.117311-ref1">1</xref>]. Increased synthesis of GTP, activation of cGMP dependent kinases and promotion of metastases are evident in a mouse model of breast cancer metastasis [<xref ref-type="bibr" rid="scirp.117311-ref2">2</xref>]. The protective effects of PDE inhibitor treatment in breast cancer patients are attributed to the synergistic effects of drugs on initiating apoptosis and decreased chemotherapeutic drug efflux through inhibition of multidrug resistance (MDR) transporters [<xref ref-type="bibr" rid="scirp.117311-ref3">3</xref>]. Several MDR proteins have binding sites for cyclic nucleotides [<xref ref-type="bibr" rid="scirp.117311-ref4">4</xref>].</p><p>Mutations in Ras genes are commonly found in tumors in which disruption of GTPase mechanisms may have led to malignancy or cell death [<xref ref-type="bibr" rid="scirp.117311-ref5">5</xref>]. Mutations are also evident in P-class ATPases. Ion-channel transporter proteins, a potential target of chemotherapy, are influenced by tumor promoters [<xref ref-type="bibr" rid="scirp.117311-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.117311-ref7">7</xref>]. Thapsigargin reduces prostate tumor volume by inhibiting the microsomal Ca<sup>2+</sup> ATPase [<xref ref-type="bibr" rid="scirp.117311-ref7">7</xref>]. Phorbol myristate acetate (PMA) inhibits ion transport across membranes and binds to guanine nucleotide exchange factors that activate small GTPases [<xref ref-type="bibr" rid="scirp.117311-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.117311-ref9">9</xref>]. A previous study found no consistent link between the molecular structures of carcinogens and ATPase inhibitors [<xref ref-type="bibr" rid="scirp.117311-ref10">10</xref>]. However, in regard to cyclic nucleotides, a considerable number of compounds of interest in cancer research (chemotherapeutics, apoptosis and autophagy modulators, drug resistance inhibitors) demonstrate relative molecular similarity, including some tumor promoters and probable human carcinogens (PMA, thapsigargin, dichlorvos) [<xref ref-type="bibr" rid="scirp.117311-ref11">11</xref>]. This investigation evaluates molecular similarity within the structures of established human chemical carcinogens and cGMP to further knowledge in this area.</p></sec><sec id="s2"><title>2. Materials and Methods</title><p>The agents under investigation are identified as human carcinogens in the National Toxicology Program’s 15<sup>th</sup> Report on Carcinogens 2021 [<xref ref-type="bibr" rid="scirp.117311-ref12">12</xref>]. Compounds are selected on the basis of their different chemical structures listed on the PubChem website (https://pubchem.ncbi.nlm.nih.gov/).</p><p>The Nemesis software program (Oxford Molecular version 2.1) is used to build molecular structures from the contents of the program fragment file and minimise structures by conformational analysis. Compound structures used for fitting are minimum energy conformers in an uncharged form. The conformation of the cGMP structure is described by the torsion angle C8N9C1’O9 -33 degrees (see <xref ref-type="fig" rid="fig2">Figure 2</xref>(1)). The computational program fits paired molecular structures on a three-point basis. Fitting-points, comprised of atoms of similar type and partial charge within compound and nucleotide structures, are identified in the text and table with respect to the nucleotide labels. Colour-coded atoms in the figures identify ligand fitting-points: carbon-green, nitrogen-blue, oxygen-red, and sulphur-yellow. Bond order within the molecular structures is not shown to improve on presentation. The Nemesis program computes goodness-of-fit values, in respect of inter-atomic distance at each fitting-point and root mean square (RMS) value. The sequence of fitting-points used for each carcinogen structure (given in <xref ref-type="table" rid="table1">Table 1</xref>, left to right) provides a fit with the lowest RMS value.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Values for fitting carcinogen structures to the cGMP template</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Compound</th><th align="center" valign="middle" >Fitting-points</th><th align="center" valign="middle" >Interatomic distances (&#197;)</th><th align="center" valign="middle" >RMS (&#197;)</th></tr></thead><tr><td align="center" valign="middle" >4-aminodiphenyl</td><td align="center" valign="middle" >C4O6C2</td><td align="center" valign="middle" >0.05, 0.10, 0.10</td><td align="center" valign="middle" >0.0073</td></tr><tr><td align="center" valign="middle" >4-aminodiphenyl</td><td align="center" valign="middle" >C4’C3’O8</td><td align="center" valign="middle" >0.07, 0.06, 0.04</td><td align="center" valign="middle" >0.0014</td></tr><tr><td align="center" valign="middle" >arsenic trioxide</td><td align="center" valign="middle" >O5O7P1</td><td align="center" valign="middle" >0.17, 0.16, 0.02</td><td align="center" valign="middle" >0.0041</td></tr><tr><td align="center" valign="middle" >arsenic trioxide</td><td align="center" valign="middle" >N1N2N3</td><td align="center" valign="middle" >0.17, 0.16, 0.17</td><td align="center" valign="middle" >0.0019</td></tr><tr><td align="center" valign="middle" >azathioprine</td><td align="center" valign="middle" >C2N3C8</td><td align="center" valign="middle" >0.07, 0.11, 0.04</td><td align="center" valign="middle" >0.0168</td></tr><tr><td align="center" valign="middle" >azathioprine</td><td align="center" valign="middle" >O5O3C1’</td><td align="center" valign="middle" >0.10, 0.08, 0.06</td><td align="center" valign="middle" >0.0000</td></tr><tr><td align="center" valign="middle" >bis(chloromethyl)ether</td><td align="center" valign="middle" >O5P1O3</td><td align="center" valign="middle" >0.08, 0.13, 0.11</td><td align="center" valign="middle" >0.0052</td></tr><tr><td align="center" valign="middle" >bis(chloromethyl)ether</td><td align="center" valign="middle" >C2C6N1</td><td align="center" valign="middle" >0.04, 0.04, 0.08</td><td align="center" valign="middle" >0.0009</td></tr><tr><td align="center" valign="middle" >1,3-butadiene</td><td align="center" valign="middle" >C2’C3’O3</td><td align="center" valign="middle" >0.09, 0.09, 0.00</td><td align="center" valign="middle" >0.0016</td></tr><tr><td align="center" valign="middle" >1,4-butanediol dimethane sulphonate (busulfan)</td><td align="center" valign="middle" >O5O3C2</td><td align="center" valign="middle" >0.06, 0.02, 0.04</td><td align="center" valign="middle" >0.0050</td></tr><tr><td align="center" valign="middle" >chlorambucil</td><td align="center" valign="middle" >O6C4C2</td><td align="center" valign="middle" >0.11, 0.06, 0.09</td><td align="center" valign="middle" >0.0069</td></tr><tr><td align="center" valign="middle" >chlorambucil</td><td align="center" valign="middle" >C4’C3’O8</td><td align="center" valign="middle" >0.07, 0.06, 0.02</td><td align="center" valign="middle" >0.0006</td></tr><tr><td align="center" valign="middle" >cyclophosphamide</td><td align="center" valign="middle" >O5P1O3</td><td align="center" valign="middle" >0.02, 0.05, 0.06</td><td align="center" valign="middle" >0.0087</td></tr><tr><td align="center" valign="middle" >cyclophosphamide</td><td align="center" valign="middle" >N1N2N3</td><td align="center" valign="middle" >0.06, 0.07, 0.02</td><td align="center" valign="middle" >0.0069</td></tr><tr><td align="center" valign="middle" >diethylstilbestrol</td><td align="center" valign="middle" >C4O6C2</td><td align="center" valign="middle" >0.05, 0.08, 0.09</td><td align="center" valign="middle" >0.0023</td></tr><tr><td align="center" valign="middle" >diethylstilbestrol</td><td align="center" valign="middle" >C4’C3’O8</td><td align="center" valign="middle" >0.07, 0.06, 0.06</td><td align="center" valign="middle" >0.0008</td></tr><tr><td align="center" valign="middle" >ethanol</td><td align="center" valign="middle" >C4’C3’O3</td><td align="center" valign="middle" >0.00, 0.00, 0.00</td><td align="center" valign="middle" >0.0000</td></tr><tr><td align="center" valign="middle" >phenacetin</td><td align="center" valign="middle" >O6N1C2</td><td align="center" valign="middle" >0.01, 0.02, 0.02</td><td align="center" valign="middle" >0.0037</td></tr><tr><td align="center" valign="middle" >phenacetin</td><td align="center" valign="middle" >C4’C3’O8</td><td align="center" valign="middle" >0.07, 0.06, 0.05</td><td align="center" valign="middle" >0.0017</td></tr><tr><td align="center" valign="middle" >tamoxifen</td><td align="center" valign="middle" >O6C4C2</td><td align="center" valign="middle" >0.10, 0.04, 0.12</td><td align="center" valign="middle" >0.0098</td></tr><tr><td align="center" valign="middle" >tamoxifen</td><td align="center" valign="middle" >C4’C3’O8</td><td align="center" valign="middle" >0.07, 0.06, 0.04</td><td align="center" valign="middle" >0.0001</td></tr><tr><td align="center" valign="middle" >TCDD (dioxin)</td><td align="center" valign="middle" >C4O6C2</td><td align="center" valign="middle" >0.04, 0.09, 0.10</td><td align="center" valign="middle" >0.0073</td></tr><tr><td align="center" valign="middle" >TCDD (dioxin)</td><td align="center" valign="middle" >O9C3’P1</td><td align="center" valign="middle" >0.04, 0.09, 0.09</td><td align="center" valign="middle" >0.0021</td></tr><tr><td align="center" valign="middle" >o-toluidine</td><td align="center" valign="middle" >C4’C3’O8</td><td align="center" valign="middle" >0.07, 0.06, 0.04</td><td align="center" valign="middle" >0.0004</td></tr><tr><td align="center" valign="middle" >o-toluidine</td><td align="center" valign="middle" >C4,N2,N1</td><td align="center" valign="middle" >0.06, 0.06, 0.05</td><td align="center" valign="middle" >0.0031</td></tr><tr><td align="center" valign="middle" >sulphuric acid</td><td align="center" valign="middle" >O8P1O5</td><td align="center" valign="middle" >0.07, 0.05, 0.10</td><td align="center" valign="middle" >0.0125</td></tr><tr><td align="center" valign="middle" >sulphuric acid</td><td align="center" valign="middle" >N1N2N3</td><td align="center" valign="middle" >0.03, 0.03, 0.06</td><td align="center" valign="middle" >0.0013</td></tr><tr><td align="center" valign="middle" >thiotepa</td><td align="center" valign="middle" >O8O3O5</td><td align="center" valign="middle" >0.06, 0.04, 0.02</td><td align="center" valign="middle" >0.0105</td></tr><tr><td align="center" valign="middle" >thiotepa</td><td align="center" valign="middle" >N1N2N3</td><td align="center" valign="middle" >0.09, 0.10, 0.05</td><td align="center" valign="middle" >0.0022</td></tr><tr><td align="center" valign="middle" >thorium dioxide</td><td align="center" valign="middle" >O3P1O5</td><td align="center" valign="middle" >0.06, 0.08, 0.06</td><td align="center" valign="middle" >0.0152</td></tr><tr><td align="center" valign="middle" >thorium dioxide</td><td align="center" valign="middle" >N1C2N2</td><td align="center" valign="middle" >0.08, 0.11, 0.08</td><td align="center" valign="middle" >0.0021</td></tr><tr><td align="center" valign="middle" >trichloroethylene</td><td align="center" valign="middle" >C2’C3’O3</td><td align="center" valign="middle" >0.06, 0.18, 0.18</td><td align="center" valign="middle" >0.0116</td></tr><tr><td align="center" valign="middle" >vinyl chloride</td><td align="center" valign="middle" >C2’C3’O5</td><td align="center" valign="middle" >0.05, 0.19, 0.19</td><td align="center" valign="middle" >0.0127</td></tr></tbody></table></table-wrap></sec><sec id="s3"><title>3. Results</title><p>The fitting data derive from several categories of carcinogenic compounds. The first figure gives the fits of seven carcinogen structures to the ribose-phosphate moiety (A) and guanine ring (B) of a cGMP template (Figures 1(1)-(14)). In the main, the compounds are small single ring structures and inorganic oxides that fit the nucleotide phosphate (1 - 7) and guanidino (11 - 14) groups. Fitting values (<xref ref-type="table" rid="table1">Table 1</xref>) of structures within groups A and B are similar; RMS values 0.0004 - 0.0152 &#197; and 0.0009 - 0.0069 &#197; respectively with intermolecular distance values of 0.02 - 0.17 &#197;. The structure of arsenic trioxide (7, 10) provides inferior fitting values than the other compounds. This arsenic compound forms acids with water that have structures more like sulphuric acid (5, 8). Carcinogen structures (15 - 20) are volatile or gaseous alkane-based compounds that are</p><p>enlarged 2&#215; in comparison to other structures in the figure. The volatile and gaseous carcinogens align and superimpose at several points on the cGMP template but provide only weak or no 3-point pharmacophore fits. The fitting values of trichloroethylene and vinyl chloride are poor, even though the structures incorporate a double bond and chlorine atom. Ethanol provides an excellent conformation for fitting to the nucleotide template, whereas fits of butadiene are achieved only by pairing a sp2 carbon atom with oxygen or sp3 carbon atom; the latter (C2’, C4’, C3’) providing poor-fitting values (0.09, 0.10, 0.18 &#197;; 0.0199 &#197;). Ethylene oxide and formaldehyde provide only two useful fitting-points. Consequently, fitting values are given only for structures (15 - 18) and template fits are not provided.</p><p>The compound structures given in <xref ref-type="fig" rid="fig2">Figure 2</xref> relate best to the cGMP nucleotide (1) in respect of molecular size. The fits of carcinogenic structures (2 - 9) are based on those of the smaller structures in <xref ref-type="fig" rid="fig1">Figure 1</xref>, in that each compound provides a structure that fits the ribose-phosphate ring and another that fits the purine ring. This double-fit provides continuity between the small and large</p><p>structures and may explain why some small structures fitting solely to the ribose-phosphate moiety may not necessarily be carcinogens. In the main, structures (2 - 9) fit to the ribose-phosphate and guanine moieties via phenol-like rings. Azathioprine (4) and butanediol dimethane sulphonate (5) provide unique fits; a single structure of the latter compound covers both ring systems. Respective compound fitting values to the ribose-phosphate and guanine moieties range from 0.04 - 0.10 &#197; (intermolecular distance) 0.0000 - 0.0021 &#197; (RMS) and 0.01 - 0.12 &#197; (intermolecular distance), 0.0023 - 0.0168 &#197; (RMS).</p></sec><sec id="s4"><title>4. Discussion</title><p>The data generated by this investigation demonstrate that the cGMP structure accommodates the fitting of small molecular weight organic and inorganic carcinogen compounds but not those of volatile and gaseous carcinogens. The latter compounds represent a coherent group that does not conform to the 3-point pharmacophore fits of more conventional drug-like structures. Apart from formaldehyde, the volatile and gaseous carcinogenic group compounds have recognised anesthetic properties. The relationship of compounds such as formaldehyde and ethylene oxide to the cGMP structure can only be considered here in terms of molecular alignment and superimposition, making it difficult to speculate on the likelihood of a common carcinogenic mechanism. Although structural differences in the carcinogenic structures are easily observed, there are also less evident similarities that facilitate fitting to the cGMP template. The triangular pharmacophore of small carcinogen structures is based on a bond angle of 60 degrees and is similar to ethylene oxide. The alternative boomerang-like pharmacophore with a bond angle of 110 degrees is equivalent to the ethanol molecule and the C4’C3’O3 sequence of cGMP. Bond angles in trichloroethylene, 1,3-butadiene and vinyl chloride of approximately 120 degrees are represented in cGMP by C6C5C4 and C5C4N3 sequences.</p><p>Weak molecular forces within anesthetic-like molecules, characterized by hydrophobic and hydrophilic interactions necessary for reversible binding [<xref ref-type="bibr" rid="scirp.117311-ref13">13</xref>] may be compensated for by interaction at multiple sites, as determined by the small dimensions of these molecules and available sites on a protein receptor. Current theories on the action of these simple, inert molecules relate to the lipid environment of protein receptors, hydrophobic sites or pockets in proteins, neuron microtubules, lipid rafts and molecular adsorption and modulation of membrane properties [<xref ref-type="bibr" rid="scirp.117311-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.117311-ref15">15</xref>]. There is no reason to assume that the structural properties of anesthetic compounds differ in their anesthetic and carcinogenic modes. Volatile anesthetics associate with multiple and selective sites on human serum albumin [<xref ref-type="bibr" rid="scirp.117311-ref16">16</xref>] and promote cellular disturbance characteristic of more conventional chemical carcinogens: oxidative stress, mitochondrial dysfunction and chemoresistance [<xref ref-type="bibr" rid="scirp.117311-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.117311-ref18">18</xref>]. Anesthetic inhibition of the P-glycoprotein ATPase and drug efflux from MDR proteins in cell cultures occurs via membrane fluidization and not through conventional inhibition of enzyme activity [<xref ref-type="bibr" rid="scirp.117311-ref19">19</xref>]. Volatile anesthetics modulate oxidative stress and nitric oxide levels in patients undergoing surgery, although there is no evidence of a deleterious influence on cancer progression following tumor resection [<xref ref-type="bibr" rid="scirp.117311-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.117311-ref21">21</xref>].</p><p>The simplicity of the small organic and inorganic carcinogen structures establishes a fitting pattern for the phenol-like rings of the larger structures. Phenol is not itself classed as a human carcinogen by the International Agency for Research on Cancer (IARC) as the statistical analysis of cancer cases fails to demonstrate a significant cancer risk [<xref ref-type="bibr" rid="scirp.117311-ref22">22</xref>]. The dual-fits of carcinogen structures to the ribose-phosphate and guanine rings would better antagonize the cGMP structure and nucleotide receptors and may provide an explanation for the lack of carcinogenicity shown by α-lipoic, phytic and folic acids, vitamin E and fraxetin; compounds that fit the ribose-phosphate ring, inhibit apoptosis and are considered as providing protection against cancer [<xref ref-type="bibr" rid="scirp.117311-ref23">23</xref>]. The nucleotide cyclized ring is also a fitting site for ML-9, a compound responsible for effects on store-operated Ca<sup>2+</sup> entry and endoplasmic reticulum stress [<xref ref-type="bibr" rid="scirp.117311-ref23">23</xref>].</p><p>The focus on guanine cyclic nucleotide in this study, rather than the adenine base equivalent, is justified by greater interest in cGMP’s modulation of tumour proliferation in vitro via the NO-cGMP pathway and the potential benefits of cGMP- targeted medication in cancer patients [<xref ref-type="bibr" rid="scirp.117311-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.117311-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.117311-ref3">3</xref>], cGMP homeostatic control of intracellular Ca<sup>2+</sup> levels [<xref ref-type="bibr" rid="scirp.117311-ref11">11</xref>] and the molecular similarity evident in cGMP, glucocorticoid and sex hormone steroid structures [<xref ref-type="bibr" rid="scirp.117311-ref24">24</xref>]. Nucleotide-binding domains on cell-signaling proteins are common and enzyme-promoted signaling cascades are cyclic nucleotide dependent. Cyclic nucleotide domains are evident on cyclic nucleotide-gated channels and MDR proteins. Genetic polymorphism in the MDR1 gene is associated with an increased risk of breast cancer [<xref ref-type="bibr" rid="scirp.117311-ref25">25</xref>]. MDR proteins provide a cellular environment where carcinogens, chemotherapeutic drugs and endogenous steroids may interact. Disruption of cyclic nucleotide function by compounds of similar molecular structure may initiate the carcinogenic process. The presented findings therefore provide additional evidence for the role of cGMP in carcinogenesis, attributable to the susceptibility of the nucleotide as a target of simple epigenetic chemical carcinogens. These findings should be tested on much larger chemical data sets to assess their use in predictive modeling, as computational methods for investigating the carcinogenic potential of chemicals have major advantages. Furthermore, the results provide a stimulus for developing cGMP-based therapies for the treatment of cancers.</p></sec><sec id="s5"><title>Conflicts of Interest</title><p>The author declares no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s6"><title>Cite this paper</title><p>Williams, W.R. (2022) Molecular Similarity within Carcinogen and Guanine Cyclic Nucleotide Structures. 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