Synthesis, Biological Evaluation, and Computational Analysis of Biaryl Side‐Chain Analogs of Solithromycin
There is an urgent need for new antibiotics to mitigate the existential threat posed by antibiotic resistance. Within the ketolide class, solithromycin has emerged as one of the most promising candidates for further development. Crystallographic studies of bacterial ribosomes and ribosomal subunits...
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description | There is an urgent need for new antibiotics to mitigate the existential threat posed by antibiotic resistance. Within the ketolide class, solithromycin has emerged as one of the most promising candidates for further development. Crystallographic studies of bacterial ribosomes and ribosomal subunits complexed with solithromycin have shed light on the nature of molecular interactions (π‐stacking and H‐bonding) between from the biaryl side‐chain of the drug and key residues in the 50S ribosomal subunit. We have designed and synthesized a library of solithromycin analogs to study their structure‐activity relationships (SAR) in tandem with new computational studies. The biological activity of each analog was evaluated in terms of ribosomal affinity (Kd determined by fluorescence polarization), as well as minimum inhibitory concentration assays (MICs). Density functional theory (DFT) studies of a simple binding site model identify key H‐bonding interactions that modulate the potency of solithromycin analogs.
We studied the impact of noncovalent interactions between the biaryl side‐chain of solithromycin and its bacterial ribosome target. Seven analogs were designed, and their biological activity was assessed by minimum inhibitory concentration and binding affinity assays. In addition, a computational model involving density functional theory was implemented to explain the stronger interactions observed for one of the analogs relative to solithromycin. |
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We studied the impact of noncovalent interactions between the biaryl side‐chain of solithromycin and its bacterial ribosome target. Seven analogs were designed, and their biological activity was assessed by minimum inhibitory concentration and binding affinity assays. In addition, a computational model involving density functional theory was implemented to explain the stronger interactions observed for one of the analogs relative to solithromycin.</description><identifier>ISSN: 1860-7179</identifier><identifier>EISSN: 1860-7187</identifier><identifier>DOI: 10.1002/cmdc.202100435</identifier><identifier>PMID: 34355515</identifier><language>eng</language><publisher>Germany: Wiley Subscription Services, Inc</publisher><subject>Analogs ; Anti-Bacterial Agents - chemical synthesis ; Anti-Bacterial Agents - chemistry ; Anti-Bacterial Agents - pharmacology ; Antibiotic resistance ; Antibiotics ; Binding sites ; Biological activity ; Biological computing ; Chains ; click chemistry ; Computer applications ; Crystallography ; Density Functional Theory ; Dose-Response Relationship, Drug ; Escherichia coli - drug effects ; Fluorescence ; Fluorescence polarization ; macrolide ; Macrolides - chemical synthesis ; Macrolides - chemistry ; Macrolides - pharmacology ; Microbial Sensitivity Tests ; Minimum inhibitory concentration ; Models, Molecular ; Molecular interactions ; Molecular Structure ; Ribosomal subunits ; Ribosomes ; solithromycin ; Staphylococcus aureus - drug effects ; Structure-Activity Relationship ; Triazoles - chemical synthesis ; Triazoles - chemistry ; Triazoles - pharmacology ; π-stacking</subject><ispartof>ChemMedChem, 2021-11, Vol.16 (21), p.3368-3373</ispartof><rights>2021 Wiley‐VCH GmbH</rights><rights>2021 Wiley-VCH GmbH.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4685-f88aea0d106ddd39cf08a33c3c5f4b55b3492a30fcd19c967ab430d1c92eb6263</citedby><cites>FETCH-LOGICAL-c4685-f88aea0d106ddd39cf08a33c3c5f4b55b3492a30fcd19c967ab430d1c92eb6263</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fcmdc.202100435$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fcmdc.202100435$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,780,784,885,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34355515$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Daher, Samer S.</creatorcontrib><creatorcontrib>Lee, Miseon</creatorcontrib><creatorcontrib>Jin, Xiao</creatorcontrib><creatorcontrib>Teijaro, Christiana N.</creatorcontrib><creatorcontrib>Wheeler, Steven E.</creatorcontrib><creatorcontrib>Jacobson, Marlene A.</creatorcontrib><creatorcontrib>Buttaro, Bettina</creatorcontrib><creatorcontrib>Andrade, Rodrigo B.</creatorcontrib><title>Synthesis, Biological Evaluation, and Computational Analysis of Biaryl Side‐Chain Analogs of Solithromycin</title><title>ChemMedChem</title><addtitle>ChemMedChem</addtitle><description>There is an urgent need for new antibiotics to mitigate the existential threat posed by antibiotic resistance. Within the ketolide class, solithromycin has emerged as one of the most promising candidates for further development. Crystallographic studies of bacterial ribosomes and ribosomal subunits complexed with solithromycin have shed light on the nature of molecular interactions (π‐stacking and H‐bonding) between from the biaryl side‐chain of the drug and key residues in the 50S ribosomal subunit. We have designed and synthesized a library of solithromycin analogs to study their structure‐activity relationships (SAR) in tandem with new computational studies. The biological activity of each analog was evaluated in terms of ribosomal affinity (Kd determined by fluorescence polarization), as well as minimum inhibitory concentration assays (MICs). Density functional theory (DFT) studies of a simple binding site model identify key H‐bonding interactions that modulate the potency of solithromycin analogs.
We studied the impact of noncovalent interactions between the biaryl side‐chain of solithromycin and its bacterial ribosome target. Seven analogs were designed, and their biological activity was assessed by minimum inhibitory concentration and binding affinity assays. In addition, a computational model involving density functional theory was implemented to explain the stronger interactions observed for one of the analogs relative to solithromycin.</description><subject>Analogs</subject><subject>Anti-Bacterial Agents - chemical synthesis</subject><subject>Anti-Bacterial Agents - chemistry</subject><subject>Anti-Bacterial Agents - pharmacology</subject><subject>Antibiotic resistance</subject><subject>Antibiotics</subject><subject>Binding sites</subject><subject>Biological activity</subject><subject>Biological computing</subject><subject>Chains</subject><subject>click chemistry</subject><subject>Computer applications</subject><subject>Crystallography</subject><subject>Density Functional Theory</subject><subject>Dose-Response Relationship, Drug</subject><subject>Escherichia coli - drug effects</subject><subject>Fluorescence</subject><subject>Fluorescence polarization</subject><subject>macrolide</subject><subject>Macrolides - chemical synthesis</subject><subject>Macrolides - chemistry</subject><subject>Macrolides - pharmacology</subject><subject>Microbial Sensitivity Tests</subject><subject>Minimum inhibitory concentration</subject><subject>Models, Molecular</subject><subject>Molecular interactions</subject><subject>Molecular Structure</subject><subject>Ribosomal subunits</subject><subject>Ribosomes</subject><subject>solithromycin</subject><subject>Staphylococcus aureus - drug effects</subject><subject>Structure-Activity Relationship</subject><subject>Triazoles - chemical synthesis</subject><subject>Triazoles - chemistry</subject><subject>Triazoles - pharmacology</subject><subject>π-stacking</subject><issn>1860-7179</issn><issn>1860-7187</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkbtOwzAUhi0E4lJYGVEkVlrsOE7sBQnCVQIxFGbLsZ3WyIlLnICy8Qg8I0-CaUuBicW3_zv_OdYPwD6CIwRhfCwrJUcxjMMlwWQNbCOawmGGaLa-OmdsC-x4_xSQhCK6CbZwYAlBZBvYcV-3U-2NP4rOjLNuYqSw0cWLsJ1ojauPIlGrKHfVrGvnD0E9DUsfSiJXhiLR9DYaG6U_3t7zqTD1XHeTuTx21rTTxlW9NPUu2CiF9XpvuQ_A4-XFQ349vL2_uslPb4cySSkZlpQKLaBCMFVKYSZLSAXGEktSJgUhBU5YLDAspUJMsjQTRYIDLlmsizRO8QCcLHxnXVFpJXXdNsLyWWOqMCx3wvC_Sm2mfOJeOCVZaEqDweHSoHHPnfYtf3JdE37leUwYJinEDAZqtKBk47xvdLnqgCD_Sod_pcNX6YSCg99zrfDvOALAFsCrsbr_x47nd-f5j_knbQ-fLg</recordid><startdate>20211105</startdate><enddate>20211105</enddate><creator>Daher, Samer S.</creator><creator>Lee, Miseon</creator><creator>Jin, Xiao</creator><creator>Teijaro, Christiana N.</creator><creator>Wheeler, Steven E.</creator><creator>Jacobson, Marlene A.</creator><creator>Buttaro, Bettina</creator><creator>Andrade, Rodrigo B.</creator><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7TK</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>RC3</scope><scope>5PM</scope></search><sort><creationdate>20211105</creationdate><title>Synthesis, Biological Evaluation, and Computational Analysis of Biaryl Side‐Chain Analogs of Solithromycin</title><author>Daher, Samer S. ; Lee, Miseon ; Jin, Xiao ; Teijaro, Christiana N. ; Wheeler, Steven E. ; Jacobson, Marlene A. ; Buttaro, Bettina ; Andrade, Rodrigo B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4685-f88aea0d106ddd39cf08a33c3c5f4b55b3492a30fcd19c967ab430d1c92eb6263</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Analogs</topic><topic>Anti-Bacterial Agents - chemical synthesis</topic><topic>Anti-Bacterial Agents - chemistry</topic><topic>Anti-Bacterial Agents - pharmacology</topic><topic>Antibiotic resistance</topic><topic>Antibiotics</topic><topic>Binding sites</topic><topic>Biological activity</topic><topic>Biological computing</topic><topic>Chains</topic><topic>click chemistry</topic><topic>Computer applications</topic><topic>Crystallography</topic><topic>Density Functional Theory</topic><topic>Dose-Response Relationship, Drug</topic><topic>Escherichia coli - drug effects</topic><topic>Fluorescence</topic><topic>Fluorescence polarization</topic><topic>macrolide</topic><topic>Macrolides - chemical synthesis</topic><topic>Macrolides - chemistry</topic><topic>Macrolides - pharmacology</topic><topic>Microbial Sensitivity Tests</topic><topic>Minimum inhibitory concentration</topic><topic>Models, Molecular</topic><topic>Molecular interactions</topic><topic>Molecular Structure</topic><topic>Ribosomal subunits</topic><topic>Ribosomes</topic><topic>solithromycin</topic><topic>Staphylococcus aureus - drug effects</topic><topic>Structure-Activity Relationship</topic><topic>Triazoles - chemical synthesis</topic><topic>Triazoles - chemistry</topic><topic>Triazoles - pharmacology</topic><topic>π-stacking</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Daher, Samer S.</creatorcontrib><creatorcontrib>Lee, Miseon</creatorcontrib><creatorcontrib>Jin, Xiao</creatorcontrib><creatorcontrib>Teijaro, Christiana N.</creatorcontrib><creatorcontrib>Wheeler, Steven E.</creatorcontrib><creatorcontrib>Jacobson, Marlene A.</creatorcontrib><creatorcontrib>Buttaro, Bettina</creatorcontrib><creatorcontrib>Andrade, Rodrigo B.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>ChemMedChem</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Daher, Samer S.</au><au>Lee, Miseon</au><au>Jin, Xiao</au><au>Teijaro, Christiana N.</au><au>Wheeler, Steven E.</au><au>Jacobson, Marlene A.</au><au>Buttaro, Bettina</au><au>Andrade, Rodrigo B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Synthesis, Biological Evaluation, and Computational Analysis of Biaryl Side‐Chain Analogs of Solithromycin</atitle><jtitle>ChemMedChem</jtitle><addtitle>ChemMedChem</addtitle><date>2021-11-05</date><risdate>2021</risdate><volume>16</volume><issue>21</issue><spage>3368</spage><epage>3373</epage><pages>3368-3373</pages><issn>1860-7179</issn><eissn>1860-7187</eissn><abstract>There is an urgent need for new antibiotics to mitigate the existential threat posed by antibiotic resistance. Within the ketolide class, solithromycin has emerged as one of the most promising candidates for further development. Crystallographic studies of bacterial ribosomes and ribosomal subunits complexed with solithromycin have shed light on the nature of molecular interactions (π‐stacking and H‐bonding) between from the biaryl side‐chain of the drug and key residues in the 50S ribosomal subunit. We have designed and synthesized a library of solithromycin analogs to study their structure‐activity relationships (SAR) in tandem with new computational studies. The biological activity of each analog was evaluated in terms of ribosomal affinity (Kd determined by fluorescence polarization), as well as minimum inhibitory concentration assays (MICs). Density functional theory (DFT) studies of a simple binding site model identify key H‐bonding interactions that modulate the potency of solithromycin analogs.
We studied the impact of noncovalent interactions between the biaryl side‐chain of solithromycin and its bacterial ribosome target. Seven analogs were designed, and their biological activity was assessed by minimum inhibitory concentration and binding affinity assays. In addition, a computational model involving density functional theory was implemented to explain the stronger interactions observed for one of the analogs relative to solithromycin.</abstract><cop>Germany</cop><pub>Wiley Subscription Services, Inc</pub><pmid>34355515</pmid><doi>10.1002/cmdc.202100435</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Analogs Anti-Bacterial Agents - chemical synthesis Anti-Bacterial Agents - chemistry Anti-Bacterial Agents - pharmacology Antibiotic resistance Antibiotics Binding sites Biological activity Biological computing Chains click chemistry Computer applications Crystallography Density Functional Theory Dose-Response Relationship, Drug Escherichia coli - drug effects Fluorescence Fluorescence polarization macrolide Macrolides - chemical synthesis Macrolides - chemistry Macrolides - pharmacology Microbial Sensitivity Tests Minimum inhibitory concentration Models, Molecular Molecular interactions Molecular Structure Ribosomal subunits Ribosomes solithromycin Staphylococcus aureus - drug effects Structure-Activity Relationship Triazoles - chemical synthesis Triazoles - chemistry Triazoles - pharmacology π-stacking |
title | Synthesis, Biological Evaluation, and Computational Analysis of Biaryl Side‐Chain Analogs of Solithromycin |
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