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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Current Computer-Aided Drug Design</journal-id><journal-title-group><journal-title xml:lang="en">Current Computer-Aided Drug Design</journal-title><trans-title-group xml:lang="ru"><trans-title>Current Computer-Aided Drug Design</trans-title></trans-title-group></journal-title-group><issn publication-format="print">1573-4099</issn><issn publication-format="electronic">1875-6697</issn><publisher><publisher-name xml:lang="en">Bentham Science</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">644092</article-id><article-id pub-id-type="doi">10.2174/1573409919666230612120819</article-id><article-categories><subj-group subj-group-type="toc-heading"><subject>Chemistry</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">In silico Identification of Potential Inhibitors against Staphylococcus aureus Tyrosyl-tRNA Synthetase</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Monobe</surname><given-names>Kohei</given-names></name><email>info@benthamscience.net</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><name><surname>Taniguchi</surname><given-names>Hinata</given-names></name><email>info@benthamscience.net</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><name><surname>Aoki</surname><given-names>Shunsuke</given-names></name><email>info@benthamscience.net</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff id="aff1"><institution>Department of Bioscience and Bioinformatics, Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology</institution></aff><pub-date date-type="pub" iso-8601-date="2024-05-01" publication-format="electronic"><day>01</day><month>05</month><year>2024</year></pub-date><volume>20</volume><issue>5</issue><issue-title xml:lang="ru"/><fpage>452</fpage><lpage>462</lpage><history><date date-type="received" iso-8601-date="2025-01-07"><day>07</day><month>01</month><year>2025</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2024, Bentham Science Publishers</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="en">Bentham Science Publishers</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/></permissions><self-uri xlink:href="https://rjeid.com/1573-4099/article/view/644092">https://rjeid.com/1573-4099/article/view/644092</self-uri><abstract xml:lang="en"><p id="idm46041443783520">Background:Drug-resistant Staphylococcus aureus (S. aureus) has spread from nosocomial to community-acquired infections. Novel antimicrobial drugs that are effective against resistant strains should be developed. S. aureus tyrosyl-tRNA synthetase (saTyrRS) is considered essential for bacterial survival and is an attractive target for drug screening.</p><p id="idm46041443787520">Objective:The purpose of this study was to identify potential new inhibitors of saTyrRS by screening compounds in silico and evaluating them using molecular dynamics (MD) simulations.</p><p id="idm46041443791488">Methods:A 3D structural library of 154,118 compounds was screened using the DOCK and GOLD docking simulations and short-time MD simulations. The selected compounds were subjected to MD simulations of a 75-ns time frame using GROMACS..</p><p id="idm46041443796544">Results:Thirty compounds were selected by hierarchical docking simulations. The binding of these compounds to saTyrRS was assessed by short-time MD simulations. Two compounds with an average value of less than 0.15 nm for the ligand RMSD were ultimately selected. The longtime (75 ns) MD simulation results demonstrated that two novel compounds bound stably to saTyrRS in silico.</p><p id="idm46041443805920">Conclusion:Two novel potential saTyrRS inhibitors with different skeletons were identified by in silico drug screening using MD simulations. The in vitro validation of the inhibitory effect of these compounds on enzyme activity and their antibacterial effect on drug-resistant S. aureus would be useful for developing novel antibiotics.</p></abstract><kwd-group xml:lang="en"><kwd>Staphylococcus aureus</kwd><kwd>drug-resistant strain</kwd><kwd>tyrosyl-tRNA synthetase</kwd><kwd>docking</kwd><kwd>molecular dynamics</kwd><kwd>MM-PBSA.</kwd></kwd-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Cheung, GYC; Bae, JS; Otto, M. Pathogenicity and virulence of Staphylococcus aureus. 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