<?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">CMB</journal-id><journal-title-group><journal-title>Computational Molecular Bioscience</journal-title></journal-title-group><issn pub-type="epub">2165-3445</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/cmb.2022.122005</article-id><article-id pub-id-type="publisher-id">CMB-117760</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>
 
 
  Repurposing Antidiabetic Drugs against Respiratory Syncytial Viral Infection: A Docking Study
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Emmanuel</surname><given-names>Oluwaseun Adediran</given-names></name><xref ref-type="aff" rid="aff1"><sub>1</sub></xref></contrib></contrib-group><aff id="aff1"><label>1</label><addr-line>Department of Chemistry, Georgia State University, Atlanta, USA</addr-line></aff><pub-date pub-type="epub"><day>10</day><month>06</month><year>2022</year></pub-date><volume>12</volume><issue>02</issue><fpage>85</fpage><lpage>94</lpage><history><date date-type="received"><day>11,</day>	<month>April</month>	<year>2022</year></date><date date-type="rev-recd"><day>10,</day>	<month>June</month>	<year>2022</year>	</date><date date-type="accepted"><day>13,</day>	<month>June</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>
 
 
  Respiratory Syncytial Viral Infection is one of the most common viral infections in the respiratory airways and is more common in infants, younger children and some adults. Although ribavirin has been used in the management of RSV infection, many effective drugs are still under development. Also, structured based drug design using computational tools has shifted the paradigm of drug design and discovery. The fusion core of the Respiratory Syncytial Viral (RSV) structure is crucial for its fusion, entry and replication in the host cell. Herein, we investigated the interruption of the formation and/or the stability of the fusion core. 15 ligands were screened and 4 (Glimepiride, Glipizide, Canagloflozin, Glibenclamide) of them are potential drug candidate for experimental validation, preclinical trials, clinical trials and route of administration optimization. To the best of our knowledge, this is the first time of reporting lead molecules against RSV from oral hypoglycemic agents. It also suggests the ligands for consideration as prophylactics in infants and adults via the inhalation route.
 
</p></abstract><kwd-group><kwd>Respiratory Syncytial Virus</kwd><kwd> Antidiabetic Agents</kwd><kwd> Fusion Core</kwd><kwd> Docking</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Respiratory Syncytial Viral Infection is one of the most common viral infections in the respiratory airways and is more common in infants, younger children and some adults [<xref ref-type="bibr" rid="scirp.117760-ref1">1</xref>]. After viral entry into human, they can cause severe pneumonia, bronchitis and can result into hospitalization. Death resulting from this infection has also been reported in developing countries [<xref ref-type="bibr" rid="scirp.117760-ref2">2</xref>]. This necessitates the research into drug design and discovery to curtail this menace. Although Ribavirin, an indirect inhibitor of RNA transcription has been used in the management of the RSV infections, a lot of molecules are still under development with the overall goal of improving the quality of life of the populace [<xref ref-type="bibr" rid="scirp.117760-ref3">3</xref>]. N<sup>4</sup>-hydroxycytidine has been reported to be a potent inhibitor of the RSV infection but 36% to 56% dose dependent oral bioavailability was demonstrated [<xref ref-type="bibr" rid="scirp.117760-ref4">4</xref>].</p><p>RSV is an enveloped single strand RNA Virus with two enveloped glycoprotein G and F which are crucial for the viral attachment and entry into the host cell membrane [<xref ref-type="bibr" rid="scirp.117760-ref5">5</xref>]. Once the virus binds to the receptor of the host cell via its G protein, it induces a conformational change on its F protein and allows the Fusion Peptide insertion into the host cell membrane, bringing the interaction of three HRA domain and three HRB domain together and consequentially forming a six helix bundle fusion core [<xref ref-type="bibr" rid="scirp.117760-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.117760-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.117760-ref8">8</xref>]. This finally brings the cell membrane and the viral membrane in close proximity to each other for fusion and viral entry [<xref ref-type="bibr" rid="scirp.117760-ref9">9</xref>].</p><p>Structure guided drug design approach has been very useful in the development of effective antiviral agents from insilico studies to experimental validations and clinical trials based on the insight from the pathogenesis and mechanism of viral entry [<xref ref-type="bibr" rid="scirp.117760-ref10">10</xref>]. Also, plants with ethno medicinal claims such as antitussive, antiviral, antibacterial, antidiabetic properties have been reported and have been validated with bioassay [<xref ref-type="bibr" rid="scirp.117760-ref11">11</xref>]. Quercetin and Quercetin pentaacetate, flavonoid from plant block the viral adhesion via insilico and in vivo model. Although some researches criticize the poor solubility of Quercetin, hence the need is for its acetylation [<xref ref-type="bibr" rid="scirp.117760-ref12">12</xref>].</p><p>Challenges in terms of pharmacokinetics properties, side effects and route of drug administration optimization of existing lead molecules demand for a research for an effective drug with good ADME properties.</p><p>Herein, we repurpose a class of pharmacological agents with an attempt of interrupting with the formation and or stability and the six helix bundle fusion core using insilico approach. 14 FDA antidiabetic drugs were screen against the F protein of the RSV. Four of them are identified as drug candidate for further experimental validation and optimization.</p></sec><sec id="s2"><title>2. Materials and Method</title><sec id="s2_1"><title>2.1. Data Sources</title><p>14 FDA Approved antidiabetic drugs were obtained from online sources and there chemical structures were retrieved from Pubcem.</p></sec><sec id="s2_2"><title>2.2. Preparation of Target</title><p>Cocrystallized ligand with the PDB ID:3KPE and resolution of 1.47 &#197; was retrieved from the protein data bank database; RCSB PDB [<xref ref-type="bibr" rid="scirp.117760-ref13">13</xref>]. Before the docking process, charges were assigned, water of crystallization were removed and the protein was further optimized by the Autodock tool and Biovia Discovery Studio Visualizer before the docking process [<xref ref-type="bibr" rid="scirp.117760-ref14">14</xref>].</p></sec><sec id="s2_3"><title>2.3. Preparation of Ligand</title><p>The 3D SDF structure of all the 14 compounds was downloaded from Pubchem database. Following automated energy minimization and optimization of all the ligands [<xref ref-type="bibr" rid="scirp.117760-ref15">15</xref>], they were all converted to PDBQT format using the graphical user interface version of PyRx virtual screening tool-python prescription 0.8.</p></sec><sec id="s2_4"><title>2.4. Compound Screening Using PyRx Program</title><p>Virtual screening of all the compounds was done using PyRx software by Autodock wizard as the engine for docking [<xref ref-type="bibr" rid="scirp.117760-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.117760-ref17">17</xref>]. The configuration file for the grid parameters was generated using Auto Grid engine in Pyrex. Predefined XYZ Center Coordinate of 23.782981, −7.656667, −2.076111 respectively having amino acids in the active site of the protein were set using the Vina wizard. The results less than 1.0 &#197; in positional root-mean-square deviation (RMSD) were considered ideal and clustered together for finding the favorable binding. The ligands with the highest binding energy were considered to be ligands with very high affinity.</p><p>Analysis of Result: The result were analyzed using Biovia discovery studio 2021 visualizer program and the receptor-ligand interactions of the various conformations were studied in their 2D and 3D format.</p></sec></sec><sec id="s3"><title>3. Result and Discussion</title><p>Respiratory Syncytial Viral is one of the most common form viral infection in infants and children. A druggable target such as the formation of the Six Helix bundle core has been identified and molecular docking has been used as a template in drug development. Molecular docking studies about the non-covalent interactions between ligands and target receptor site and provides there binding affinity as shown in <xref ref-type="table" rid="table1">Table 1</xref>. It also provides the preferred orientation of a molecule and suggests a molecule with a good binding energy as a good drug candidate. Our study screened 14 antidiabetic agents against the formation of the Six Helix Bundle fusion core; which is crucial for the viral fusion and entry. HR1 (Y198) and HR2 (D486) have been reported to play a crucial role in viral binding and entry [<xref ref-type="bibr" rid="scirp.117760-ref18">18</xref>]. Interestingly, Four (4) of the ligands showed a high binding affinity at the active site which are in the order of Glibenclamide (−7.7), Glimeperide (−7.7). Glipizide (−7.6). Canagloflozin (−7.5). They either interrupt the six helix bundle formation or the stability of the helix bundle and will be a good drug candidates for experimental validation. In terms of the classes of the drug, sulfonylurea family showed a great lead compared to other classes and the control. The four promising ligands bind to (TYR 198, ILE 492, ASP 489), (ILE B: 492, PHE B: 483, TYR A: 198, ASP A: 194, ASP B: 486 LYS A: 201), (GLU B: 487, SER B: 485, ASP B: 486, TYR A: 198, GLN A: 202, LEU A: 195 PHE B: 488 ASP A: 194 ASN A: 197, LYS A: 201), (LYS A 201, TYR A: 198, ASP B: 489, ASP B: 486, PHE B: 488) respectively as shown in Figures 1-5.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Oral hypoglycemic agents and their binding Energy with the helix bundle of the Respiratory Syncytial Virus</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >COMPOUNDS</th><th align="center" valign="middle" >ANTIDIABETIC CLASS</th><th align="center" valign="middle" >MOLECULAR WEIGHT (G/MOLE)</th><th align="center" valign="middle" >BINDING ENERGY (KCAL/MOLE)</th><th align="center" valign="middle" >LOG P</th><th align="center" valign="middle" >DRUG LIKLINESS</th><th align="center" valign="middle" >COMPOUND NUMBER</th></tr></thead><tr><td align="center" valign="middle" >Glibenclamide</td><td align="center" valign="middle" >Sulfonylureas</td><td align="center" valign="middle" >494.004</td><td align="center" valign="middle" >−7.7</td><td align="center" valign="middle" >4.7</td><td align="center" valign="middle" >YES</td><td align="center" valign="middle" >A</td></tr><tr><td align="center" valign="middle" >Glimepiride</td><td align="center" valign="middle" >Sulfonylureas</td><td align="center" valign="middle" >490.617</td><td align="center" valign="middle" >−7.7</td><td align="center" valign="middle" >3.81</td><td align="center" valign="middle" >YES</td><td align="center" valign="middle" >B</td></tr><tr><td align="center" valign="middle" >Glipizide</td><td align="center" valign="middle" >Sulfonylureas</td><td align="center" valign="middle" >445.536</td><td align="center" valign="middle" >−7.6</td><td align="center" valign="middle" >1.91</td><td align="center" valign="middle" >YES</td><td align="center" valign="middle" >C</td></tr><tr><td align="center" valign="middle" >Repaglinide</td><td align="center" valign="middle" >Meglitinides</td><td align="center" valign="middle" >452.586</td><td align="center" valign="middle" >−6.7</td><td align="center" valign="middle" >3.97</td><td align="center" valign="middle" >YES</td><td align="center" valign="middle" >D</td></tr><tr><td align="center" valign="middle" >Metformin</td><td align="center" valign="middle" >Biguanides</td><td align="center" valign="middle" >129.164</td><td align="center" valign="middle" >−3.9</td><td align="center" valign="middle" >0.35</td><td align="center" valign="middle" >YES</td><td align="center" valign="middle" >E</td></tr><tr><td align="center" valign="middle" >Saxagliptin</td><td align="center" valign="middle" >dipeptidyl peptidase4 inhibitors</td><td align="center" valign="middle" >333.432</td><td align="center" valign="middle" >−6.5</td><td align="center" valign="middle" >0.88</td><td align="center" valign="middle" >YES</td><td align="center" valign="middle" >F</td></tr><tr><td align="center" valign="middle" >Pioglitazone</td><td align="center" valign="middle" >Thiazolidinedione</td><td align="center" valign="middle" >356.44</td><td align="center" valign="middle" >−6.5</td><td align="center" valign="middle" >3.46</td><td align="center" valign="middle" >YES</td><td align="center" valign="middle" >G</td></tr><tr><td align="center" valign="middle" >Acarbose</td><td align="center" valign="middle" >Alpha-glucosidase inhibitors</td><td align="center" valign="middle" >645.604</td><td align="center" valign="middle" >−5.6</td><td align="center" valign="middle" >-8.5</td><td align="center" valign="middle" >YES</td><td align="center" valign="middle" >H</td></tr><tr><td align="center" valign="middle" >Canagliflozin</td><td align="center" valign="middle" >SGLT-2 inhibitors</td><td align="center" valign="middle" >444.52</td><td align="center" valign="middle" >−7.5</td><td align="center" valign="middle" >3.44</td><td align="center" valign="middle" >YES</td><td align="center" valign="middle" >I</td></tr><tr><td align="center" valign="middle" >Sitagliptin</td><td align="center" valign="middle" >dipeptidyl peptidase4 inhibitors</td><td align="center" valign="middle" >407.314</td><td align="center" valign="middle" >−7.0</td><td align="center" valign="middle" >1.26</td><td align="center" valign="middle" >YES</td><td align="center" valign="middle" >J</td></tr><tr><td align="center" valign="middle" >Linagliptin</td><td align="center" valign="middle" >dipeptidyl peptidase4 inhibitors</td><td align="center" valign="middle" >472.54</td><td align="center" valign="middle" >−7.2</td><td align="center" valign="middle" >3.92</td><td align="center" valign="middle" >YES</td><td align="center" valign="middle" >K</td></tr><tr><td align="center" valign="middle" >Miglitol</td><td align="center" valign="middle" >Alpha-glucosidase inhibitors</td><td align="center" valign="middle" >207.224</td><td align="center" valign="middle" >−4.1</td><td align="center" valign="middle" >-2.29</td><td align="center" valign="middle" >YES</td><td align="center" valign="middle" >L</td></tr><tr><td align="center" valign="middle" >Rosiglitazone</td><td align="center" valign="middle" >Thiazolidinediones</td><td align="center" valign="middle" >357.428</td><td align="center" valign="middle" >−6.5</td><td align="center" valign="middle" >1.8</td><td align="center" valign="middle" >YES</td><td align="center" valign="middle" >M</td></tr><tr><td align="center" valign="middle" >Vildagliptin</td><td align="center" valign="middle" >dipeptidyl peptidase4 inhibitors</td><td align="center" valign="middle" >303.399</td><td align="center" valign="middle" >−6.1</td><td align="center" valign="middle" >1.12</td><td align="center" valign="middle" >YES</td><td align="center" valign="middle" >N</td></tr><tr><td align="center" valign="middle" >CONTROL</td><td align="center" valign="middle" >Natural organic acid (methyl 3,4 di-O-caffeoylquinic acid</td><td align="center" valign="middle" >530.5</td><td align="center" valign="middle" >−6.2</td><td align="center" valign="middle" >1.9</td><td align="center" valign="middle" >YES</td><td align="center" valign="middle" >O</td></tr></tbody></table></table-wrap><p>One of the advantages of repurposing this class of drugs is that in terms of subjecting them to clinical trials after the experimental validation, they will not be time consuming as regards their pharmacokinetic optimization because they have been used in clinical settings before now and they conform to the Lipinski rule of Five [<xref ref-type="bibr" rid="scirp.117760-ref19">19</xref>]. Furthermore, these ligands can be considered as prophylactics in infants and adults via the inhalation route.</p><p>TWO DIMENSIONAL STRUCTURES OF THE VARIOUS ANTIDIABETIC AGENTS</p><p><img src="//html.scirp.org/file/1-2220144x8.png?20220610175520888" /><img src="//html.scirp.org/file/1-2220144x7.png?20220610175520888" /></p><p>A B</p><p><img src="//html.scirp.org/file/1-2220144x10.png?20220610175520888" /><img src="//html.scirp.org/file/1-2220144x9.png?20220610175520888" /></p><p>C D</p><p><img src="//html.scirp.org/file/1-2220144x12.png?20220610175520888" /><img src="//html.scirp.org/file/1-2220144x11.png?20220610175520888" /></p><p>E F</p><p><img src="//html.scirp.org/file/1-2220144x13.png?20220610175520888" /> <img src="//html.scirp.org/file/1-2220144x14.png?20220610175520888" /></p><p>G H</p><p><img src="//html.scirp.org/file/1-2220144x15.png?20220610175520888" /> <img src="//html.scirp.org/file/1-2220144x16.png?20220610175520888" /></p><p>I J</p><p><img src="//html.scirp.org/file/1-2220144x17.png?20220610175520888" /> <img src="//html.scirp.org/file/1-2220144x18.png?20220610175520888" /></p><p>K L</p><p><img data-original="//html.scirp.org/file/1-2220144x19.png?20220610175520888" /> <img data-original="//html.scirp.org/file/1-2220144x20.png?20220610175520888" /></p><p>M N</p><disp-formula id="scirp.117760-formula1"><graphic  xlink:href="//html.scirp.org/file/1-2220144x21.png?20220610175520888"  xlink:type="simple"/></disp-formula><p>O</p></sec><sec id="s4"><title>4. Conclusion</title><p>Drug repurposing will be the best approach to develop effective therapeutics against the Respiratory Syncytial Virus. Although ribavirin has been used in the management of RSV infection, many effective drugs are still under development. In this study, we have used Pyrex, Autodock tools and Biovia discovery studio tool to identify potential inhibitors of the formation of the six helix bond formation and/or stability; a pathway crucial for RSV viral fusion and entry. We screened 15 ligands and 4 of them are potential drug candidate for experimental validation, preclinical trials, clinical trials and route of administration optimization. To the best of our knowledge, this is the first time of this drug repurposing study and the identification of lead molecules against RSV from oral hypoglycemic agents.</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>Adediran, E.O. (2022) Repurposing Antidiabetic Drugs against Respiratory Syncytial Viral Infection: A Docking Study. Computational Molecular Bioscience, 12, 85-94. https://doi.org/10.4236/cmb.2022.122005</p></sec></body><back><ref-list><title>References</title><ref id="scirp.117760-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Hall, C.B., Weinberg, G.A., Iwane, M.K., Blumkin, A.K., Edwards, K.M., Staat, M.A., Auinger, P., Griffin, M.R., Poehling, K.A., Erdman, D., et al. (2009) The Burden of Respiratory Syncytial Virus Infection in Young Children. 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