3D-QSAR and 3D-QSSR studies of thieno[2,3-d] pyrimidin-4-yl hydrazone analogues as CDK4 inhibitors by CoMFA analysis
Aim: To investigate the structural basis underlying potency and selectivity of a series of novel analogues of thieno[2,3-d]pyrimidin-4-yl hydrazones as cyclin-dependent kinase 4 (CDK4) inhibitors and to use this information for drug design strategies. Methods: Three-dimensional quantitative structur...
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creator | Cai, Bao-qin Jin, Hai-xiao Yan, Xiao-jun Zhu, Peng Hu, Gui-xiang |
description | Aim: To investigate the structural basis underlying potency and selectivity of a series of novel analogues of thieno[2,3-d]pyrimidin-4-yl hydrazones as cyclin-dependent kinase 4 (CDK4) inhibitors and to use this information for drug design strategies.
Methods: Three-dimensional quantitative structure-activity relationship (3D-QSAR) and three-dimensional quantitative structure-selectivity relationship (3D-QSSR) models using comparative molecular field analysis (CoMFA) were conducted on a training set of 48 compounds. Partial least squares (PLS) analysis was employed. External validation was performed with a test set of 9 compounds.
Results: The obtained 3D-QSAR model (q2=0.724, r2=0.965, r2pred=0.945) and 3D-QSSR model (q2=0.742, r2=0.923, r2pred=0.863) were robust and predictive. Contour maps with good compatibility to active binding sites provided insight into the potentially important structural features required to enhance activity and selectivity. The contour maps indicated that bulky groups at R1 position could potentially enhance CDK4 inhibitory activity, whereas bulky groups at R3 position have the opposite effect. Appropriate incorporation of bulky electropositive groups at R4 position is favorable and could improve both potency and selectivity to CDK4.
Conclusion: These two models provide useful information to guide drug design strategies aimed at obtaining potent and selective CDK4 inhibitors. |
doi_str_mv | 10.1038/aps.2013.105 |
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Methods: Three-dimensional quantitative structure-activity relationship (3D-QSAR) and three-dimensional quantitative structure-selectivity relationship (3D-QSSR) models using comparative molecular field analysis (CoMFA) were conducted on a training set of 48 compounds. Partial least squares (PLS) analysis was employed. External validation was performed with a test set of 9 compounds.
Results: The obtained 3D-QSAR model (q2=0.724, r2=0.965, r2pred=0.945) and 3D-QSSR model (q2=0.742, r2=0.923, r2pred=0.863) were robust and predictive. Contour maps with good compatibility to active binding sites provided insight into the potentially important structural features required to enhance activity and selectivity. The contour maps indicated that bulky groups at R1 position could potentially enhance CDK4 inhibitory activity, whereas bulky groups at R3 position have the opposite effect. Appropriate incorporation of bulky electropositive groups at R4 position is favorable and could improve both potency and selectivity to CDK4.
Conclusion: These two models provide useful information to guide drug design strategies aimed at obtaining potent and selective CDK4 inhibitors.</description><identifier>ISSN: 1671-4083</identifier><identifier>EISSN: 1745-7254</identifier><identifier>DOI: 10.1038/aps.2013.105</identifier><identifier>PMID: 24122012</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>3D-QSAR ; Binding Sites - physiology ; Biomedicine ; CoMFA ; Crystallography, X-Ray ; Cyclin-Dependent Kinase 4 - antagonists & inhibitors ; Cyclin-Dependent Kinase 4 - chemistry ; Cyclin-Dependent Kinase 4 - metabolism ; Immunology ; Internal Medicine ; Medical Microbiology ; Original ; original-article ; Pharmacology/Toxicology ; Protein Structure, Secondary ; Protein Structure, Tertiary ; Pyrimidines - chemistry ; Pyrimidines - metabolism ; Pyrimidines - pharmacology ; Quantitative Structure-Activity Relationship ; Vaccine ; 三维定量构效关系 ; 嘧啶 ; 噻吩 ; 抑制剂 ; 类似物 ; 细胞周期蛋白依赖性激酶</subject><ispartof>Acta pharmacologica Sinica, 2014-01, Vol.35 (1), p.151-160</ispartof><rights>CPS and SIMM 2014</rights><rights>Copyright Nature Publishing Group Jan 2014</rights><rights>Copyright © 2014 CPS and SIMM 2014 CPS and SIMM</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c476t-844bf86bc8ab54870182acb4b5265a9af01345331f1e3b7d7466af3bba40922b3</citedby><cites>FETCH-LOGICAL-c476t-844bf86bc8ab54870182acb4b5265a9af01345331f1e3b7d7466af3bba40922b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/95561A/95561A.jpg</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4075745/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4075745/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24122012$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cai, Bao-qin</creatorcontrib><creatorcontrib>Jin, Hai-xiao</creatorcontrib><creatorcontrib>Yan, Xiao-jun</creatorcontrib><creatorcontrib>Zhu, Peng</creatorcontrib><creatorcontrib>Hu, Gui-xiang</creatorcontrib><title>3D-QSAR and 3D-QSSR studies of thieno[2,3-d] pyrimidin-4-yl hydrazone analogues as CDK4 inhibitors by CoMFA analysis</title><title>Acta pharmacologica Sinica</title><addtitle>Acta Pharmacol Sin</addtitle><addtitle>Acta Pharmacologica Sinica</addtitle><description>Aim: To investigate the structural basis underlying potency and selectivity of a series of novel analogues of thieno[2,3-d]pyrimidin-4-yl hydrazones as cyclin-dependent kinase 4 (CDK4) inhibitors and to use this information for drug design strategies.
Methods: Three-dimensional quantitative structure-activity relationship (3D-QSAR) and three-dimensional quantitative structure-selectivity relationship (3D-QSSR) models using comparative molecular field analysis (CoMFA) were conducted on a training set of 48 compounds. Partial least squares (PLS) analysis was employed. External validation was performed with a test set of 9 compounds.
Results: The obtained 3D-QSAR model (q2=0.724, r2=0.965, r2pred=0.945) and 3D-QSSR model (q2=0.742, r2=0.923, r2pred=0.863) were robust and predictive. Contour maps with good compatibility to active binding sites provided insight into the potentially important structural features required to enhance activity and selectivity. The contour maps indicated that bulky groups at R1 position could potentially enhance CDK4 inhibitory activity, whereas bulky groups at R3 position have the opposite effect. Appropriate incorporation of bulky electropositive groups at R4 position is favorable and could improve both potency and selectivity to CDK4.
Conclusion: These two models provide useful information to guide drug design strategies aimed at obtaining potent and selective CDK4 inhibitors.</description><subject>3D-QSAR</subject><subject>Binding Sites - physiology</subject><subject>Biomedicine</subject><subject>CoMFA</subject><subject>Crystallography, X-Ray</subject><subject>Cyclin-Dependent Kinase 4 - antagonists & inhibitors</subject><subject>Cyclin-Dependent Kinase 4 - chemistry</subject><subject>Cyclin-Dependent Kinase 4 - metabolism</subject><subject>Immunology</subject><subject>Internal Medicine</subject><subject>Medical Microbiology</subject><subject>Original</subject><subject>original-article</subject><subject>Pharmacology/Toxicology</subject><subject>Protein Structure, Secondary</subject><subject>Protein Structure, Tertiary</subject><subject>Pyrimidines - chemistry</subject><subject>Pyrimidines - metabolism</subject><subject>Pyrimidines - pharmacology</subject><subject>Quantitative Structure-Activity Relationship</subject><subject>Vaccine</subject><subject>三维定量构效关系</subject><subject>嘧啶</subject><subject>噻吩</subject><subject>抑制剂</subject><subject>类似物</subject><subject>细胞周期蛋白依赖性激酶</subject><issn>1671-4083</issn><issn>1745-7254</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNptkUtv1DAUhSMEoqWwY42M2LCoi5-xs6k0mj6oKEK0sELIshNn4ipjT-0EKf319XSmo4JY-Vr3u-f6-BTFW4yOMKLyk16lI4IwzTf-rNjHgnEoCGfPc10KDBmSdK94ldINQpRQXL0s9gjDJM-Q_WKgJ_D79ewKaN-Ah_r6CqRhbJxNILRg6Jz14Rc5pLD5DVZTdEvXOA8ZnHrQTU3Ud8HbPK37sBjzjE5gfvKFAec7Z9wQYgJmAvPw9Wz2QE3JpdfFi1b3yb7ZngfFz7PTH_PP8PLb-cV8dglrJsoBSsZMK0tTS204kwJhSXRtmOGk5LrSbXbNOKW4xZYa0QhWlrqlxmiGKkIMPSiON7qr0SxtU1s_RN2rVTah46SCdurvjnedWoQ_iiHB8z9mgY9bgRhus7tBLV2qbd9rb8OYFGYVErgqCcroh3_QmzDGbHhNCSpLLjjL1OGGqmNIKdp29xiM1DpOleNU6zjzbb3_3VMDO_gxvwzADZByyy9sfLL1_4Lvt_u74Be3eWSnyaRklFaS3gPMeLNA</recordid><startdate>20140101</startdate><enddate>20140101</enddate><creator>Cai, Bao-qin</creator><creator>Jin, Hai-xiao</creator><creator>Yan, Xiao-jun</creator><creator>Zhu, Peng</creator><creator>Hu, Gui-xiang</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W91</scope><scope>~WA</scope><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>3V.</scope><scope>7QP</scope><scope>7QR</scope><scope>7T5</scope><scope>7TK</scope><scope>7TO</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20140101</creationdate><title>3D-QSAR and 3D-QSSR studies of thieno[2,3-d] pyrimidin-4-yl hydrazone analogues as CDK4 inhibitors by CoMFA analysis</title><author>Cai, Bao-qin ; Jin, Hai-xiao ; Yan, Xiao-jun ; Zhu, Peng ; Hu, Gui-xiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c476t-844bf86bc8ab54870182acb4b5265a9af01345331f1e3b7d7466af3bba40922b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>3D-QSAR</topic><topic>Binding Sites - physiology</topic><topic>Biomedicine</topic><topic>CoMFA</topic><topic>Crystallography, X-Ray</topic><topic>Cyclin-Dependent Kinase 4 - antagonists & inhibitors</topic><topic>Cyclin-Dependent Kinase 4 - chemistry</topic><topic>Cyclin-Dependent Kinase 4 - metabolism</topic><topic>Immunology</topic><topic>Internal Medicine</topic><topic>Medical Microbiology</topic><topic>Original</topic><topic>original-article</topic><topic>Pharmacology/Toxicology</topic><topic>Protein Structure, Secondary</topic><topic>Protein Structure, Tertiary</topic><topic>Pyrimidines - chemistry</topic><topic>Pyrimidines - metabolism</topic><topic>Pyrimidines - pharmacology</topic><topic>Quantitative Structure-Activity Relationship</topic><topic>Vaccine</topic><topic>三维定量构效关系</topic><topic>嘧啶</topic><topic>噻吩</topic><topic>抑制剂</topic><topic>类似物</topic><topic>细胞周期蛋白依赖性激酶</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cai, Bao-qin</creatorcontrib><creatorcontrib>Jin, Hai-xiao</creatorcontrib><creatorcontrib>Yan, Xiao-jun</creatorcontrib><creatorcontrib>Zhu, Peng</creatorcontrib><creatorcontrib>Hu, Gui-xiang</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库-医药卫生</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Acta pharmacologica Sinica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cai, Bao-qin</au><au>Jin, Hai-xiao</au><au>Yan, Xiao-jun</au><au>Zhu, Peng</au><au>Hu, Gui-xiang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>3D-QSAR and 3D-QSSR studies of thieno[2,3-d] pyrimidin-4-yl hydrazone analogues as CDK4 inhibitors by CoMFA analysis</atitle><jtitle>Acta pharmacologica Sinica</jtitle><stitle>Acta Pharmacol Sin</stitle><addtitle>Acta Pharmacologica Sinica</addtitle><date>2014-01-01</date><risdate>2014</risdate><volume>35</volume><issue>1</issue><spage>151</spage><epage>160</epage><pages>151-160</pages><issn>1671-4083</issn><eissn>1745-7254</eissn><abstract>Aim: To investigate the structural basis underlying potency and selectivity of a series of novel analogues of thieno[2,3-d]pyrimidin-4-yl hydrazones as cyclin-dependent kinase 4 (CDK4) inhibitors and to use this information for drug design strategies.
Methods: Three-dimensional quantitative structure-activity relationship (3D-QSAR) and three-dimensional quantitative structure-selectivity relationship (3D-QSSR) models using comparative molecular field analysis (CoMFA) were conducted on a training set of 48 compounds. Partial least squares (PLS) analysis was employed. External validation was performed with a test set of 9 compounds.
Results: The obtained 3D-QSAR model (q2=0.724, r2=0.965, r2pred=0.945) and 3D-QSSR model (q2=0.742, r2=0.923, r2pred=0.863) were robust and predictive. Contour maps with good compatibility to active binding sites provided insight into the potentially important structural features required to enhance activity and selectivity. The contour maps indicated that bulky groups at R1 position could potentially enhance CDK4 inhibitory activity, whereas bulky groups at R3 position have the opposite effect. Appropriate incorporation of bulky electropositive groups at R4 position is favorable and could improve both potency and selectivity to CDK4.
Conclusion: These two models provide useful information to guide drug design strategies aimed at obtaining potent and selective CDK4 inhibitors.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>24122012</pmid><doi>10.1038/aps.2013.105</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | 3D-QSAR Binding Sites - physiology Biomedicine CoMFA Crystallography, X-Ray Cyclin-Dependent Kinase 4 - antagonists & inhibitors Cyclin-Dependent Kinase 4 - chemistry Cyclin-Dependent Kinase 4 - metabolism Immunology Internal Medicine Medical Microbiology Original original-article Pharmacology/Toxicology Protein Structure, Secondary Protein Structure, Tertiary Pyrimidines - chemistry Pyrimidines - metabolism Pyrimidines - pharmacology Quantitative Structure-Activity Relationship Vaccine 三维定量构效关系 嘧啶 噻吩 抑制剂 类似物 细胞周期蛋白依赖性激酶 |
title | 3D-QSAR and 3D-QSSR studies of thieno[2,3-d] pyrimidin-4-yl hydrazone analogues as CDK4 inhibitors by CoMFA analysis |
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