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Two- and three-dimensional quantitative structure–activity relationships for a series of purine nucleoside phosphorylase inhibitors
Comparative molecular field analysis (CoMFA), comparative molecular similarity indices analysis, and hologram quantitative structure–activity relationship (HQSAR) studies were conducted on a series of 52 training set inhibitors of calf spleen purine nucleoside phosphorylase (PNP). Significant cross-...
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Published in: | Bioorganic & medicinal chemistry 2006-01, Vol.14 (2), p.516-527 |
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container_title | Bioorganic & medicinal chemistry |
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creator | Castilho, Marcelo S. Postigo, Matheus P. de Paula, Caroline B.V. Montanari, Carlos A. Oliva, Glaucius Andricopulo, Adriano D. |
description | Comparative molecular field analysis (CoMFA), comparative molecular similarity indices analysis, and hologram quantitative structure–activity relationship (HQSAR) studies were conducted on a series of 52 training set inhibitors of calf spleen purine nucleoside phosphorylase (PNP). Significant cross-validated correlation coefficients (CoMFA,
q
2
=
0.68; CoMSIA,
q
2
=
0.66; and HQSAR,
q
2
=
0.70) were obtained, indicating the potential of the models for untested compounds. The models were then used to predict the inhibitory potency of 16 test set compounds that were not included in the training set, and the predicted values were in good agreement with the experimental results. The final QSAR models along with the information gathered from 3D contour and 2D contribution maps should be useful for the design of novel inhibitors of PNP having improved potency. |
doi_str_mv | 10.1016/j.bmc.2005.08.055 |
format | article |
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q
2
=
0.68; CoMSIA,
q
2
=
0.66; and HQSAR,
q
2
=
0.70) were obtained, indicating the potential of the models for untested compounds. The models were then used to predict the inhibitory potency of 16 test set compounds that were not included in the training set, and the predicted values were in good agreement with the experimental results. The final QSAR models along with the information gathered from 3D contour and 2D contribution maps should be useful for the design of novel inhibitors of PNP having improved potency.</description><identifier>ISSN: 0968-0896</identifier><identifier>EISSN: 1464-3391</identifier><identifier>DOI: 10.1016/j.bmc.2005.08.055</identifier><identifier>PMID: 16203153</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Biological and medical sciences ; CoMFA ; CoMSIA ; Enzyme Inhibitors - chemistry ; Enzyme Inhibitors - pharmacology ; HQSAR ; Inhibitors ; Kinetics ; Medical sciences ; Miscellaneous ; Models, Molecular ; Pharmacology. Drug treatments ; PNP ; Purine-Nucleoside Phosphorylase - antagonists & inhibitors ; QSAR ; Quantitative Structure-Activity Relationship</subject><ispartof>Bioorganic & medicinal chemistry, 2006-01, Vol.14 (2), p.516-527</ispartof><rights>2005 Elsevier Ltd</rights><rights>2006 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c381t-12c20fc6246525c4295a62bf36a776c082ee9a3787885a508e8c11edff59c3123</citedby><cites>FETCH-LOGICAL-c381t-12c20fc6246525c4295a62bf36a776c082ee9a3787885a508e8c11edff59c3123</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=17322006$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16203153$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Castilho, Marcelo S.</creatorcontrib><creatorcontrib>Postigo, Matheus P.</creatorcontrib><creatorcontrib>de Paula, Caroline B.V.</creatorcontrib><creatorcontrib>Montanari, Carlos A.</creatorcontrib><creatorcontrib>Oliva, Glaucius</creatorcontrib><creatorcontrib>Andricopulo, Adriano D.</creatorcontrib><title>Two- and three-dimensional quantitative structure–activity relationships for a series of purine nucleoside phosphorylase inhibitors</title><title>Bioorganic & medicinal chemistry</title><addtitle>Bioorg Med Chem</addtitle><description>Comparative molecular field analysis (CoMFA), comparative molecular similarity indices analysis, and hologram quantitative structure–activity relationship (HQSAR) studies were conducted on a series of 52 training set inhibitors of calf spleen purine nucleoside phosphorylase (PNP). Significant cross-validated correlation coefficients (CoMFA,
q
2
=
0.68; CoMSIA,
q
2
=
0.66; and HQSAR,
q
2
=
0.70) were obtained, indicating the potential of the models for untested compounds. The models were then used to predict the inhibitory potency of 16 test set compounds that were not included in the training set, and the predicted values were in good agreement with the experimental results. The final QSAR models along with the information gathered from 3D contour and 2D contribution maps should be useful for the design of novel inhibitors of PNP having improved potency.</description><subject>Biological and medical sciences</subject><subject>CoMFA</subject><subject>CoMSIA</subject><subject>Enzyme Inhibitors - chemistry</subject><subject>Enzyme Inhibitors - pharmacology</subject><subject>HQSAR</subject><subject>Inhibitors</subject><subject>Kinetics</subject><subject>Medical sciences</subject><subject>Miscellaneous</subject><subject>Models, Molecular</subject><subject>Pharmacology. Drug treatments</subject><subject>PNP</subject><subject>Purine-Nucleoside Phosphorylase - antagonists & inhibitors</subject><subject>QSAR</subject><subject>Quantitative Structure-Activity Relationship</subject><issn>0968-0896</issn><issn>1464-3391</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><recordid>eNp9kM-KFDEQh4Mo7rj6AF4kF731mD-ddBpPsqgrLHhZzyGTrmYydCe9qfTK3Lz4BL6hT2KWGdjbHoqCqq9-FB8hbznbcsb1x8N2N_utYExtmdkypZ6RDW9120jZ8-dkw3ptGmZ6fUFeIR4YY6Lt-UtywbVgkiu5IX9uf6WGujjQss8AzRBmiBhSdBO9W10sobgS7oFiyasva4Z_v_86X0ehHGmGqW5TxH1YkI4pU0cRcgCkaaTLmkMEGlc_QcIwAF32CWvl4-QQaIj7sAslZXxNXoxuQnhz7pfk59cvt1fXzc2Pb9-vPt80XhpeGi68YKPXotVKKN-KXjktdqPUruu0Z0YA9E52pjNGOcUMGM85DOOoei-5kJfkwyl3yeluBSx2DuhhmlyEtKLtmGCG9byC_AT6nBAzjHbJYXb5aDmzD-7twVb39sG9ZcZW9_Xm3Tl83c0wPF6cZVfg_Rlw6N00Zhd9wEeuk6Lm6cp9OnFQVdwHyBZ9gOhhCBl8sUMKT7zxH_UtpZ8</recordid><startdate>20060115</startdate><enddate>20060115</enddate><creator>Castilho, Marcelo S.</creator><creator>Postigo, Matheus P.</creator><creator>de Paula, Caroline B.V.</creator><creator>Montanari, Carlos A.</creator><creator>Oliva, Glaucius</creator><creator>Andricopulo, Adriano D.</creator><general>Elsevier Ltd</general><general>Elsevier Science</general><scope>IQODW</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>7X8</scope></search><sort><creationdate>20060115</creationdate><title>Two- and three-dimensional quantitative structure–activity relationships for a series of purine nucleoside phosphorylase inhibitors</title><author>Castilho, Marcelo S. ; Postigo, Matheus P. ; de Paula, Caroline B.V. ; Montanari, Carlos A. ; Oliva, Glaucius ; Andricopulo, Adriano D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c381t-12c20fc6246525c4295a62bf36a776c082ee9a3787885a508e8c11edff59c3123</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Biological and medical sciences</topic><topic>CoMFA</topic><topic>CoMSIA</topic><topic>Enzyme Inhibitors - chemistry</topic><topic>Enzyme Inhibitors - pharmacology</topic><topic>HQSAR</topic><topic>Inhibitors</topic><topic>Kinetics</topic><topic>Medical sciences</topic><topic>Miscellaneous</topic><topic>Models, Molecular</topic><topic>Pharmacology. Drug treatments</topic><topic>PNP</topic><topic>Purine-Nucleoside Phosphorylase - antagonists & inhibitors</topic><topic>QSAR</topic><topic>Quantitative Structure-Activity Relationship</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Castilho, Marcelo S.</creatorcontrib><creatorcontrib>Postigo, Matheus P.</creatorcontrib><creatorcontrib>de Paula, Caroline B.V.</creatorcontrib><creatorcontrib>Montanari, Carlos A.</creatorcontrib><creatorcontrib>Oliva, Glaucius</creatorcontrib><creatorcontrib>Andricopulo, Adriano D.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Bioorganic & medicinal chemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Castilho, Marcelo S.</au><au>Postigo, Matheus P.</au><au>de Paula, Caroline B.V.</au><au>Montanari, Carlos A.</au><au>Oliva, Glaucius</au><au>Andricopulo, Adriano D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Two- and three-dimensional quantitative structure–activity relationships for a series of purine nucleoside phosphorylase inhibitors</atitle><jtitle>Bioorganic & medicinal chemistry</jtitle><addtitle>Bioorg Med Chem</addtitle><date>2006-01-15</date><risdate>2006</risdate><volume>14</volume><issue>2</issue><spage>516</spage><epage>527</epage><pages>516-527</pages><issn>0968-0896</issn><eissn>1464-3391</eissn><abstract>Comparative molecular field analysis (CoMFA), comparative molecular similarity indices analysis, and hologram quantitative structure–activity relationship (HQSAR) studies were conducted on a series of 52 training set inhibitors of calf spleen purine nucleoside phosphorylase (PNP). 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q
2
=
0.68; CoMSIA,
q
2
=
0.66; and HQSAR,
q
2
=
0.70) were obtained, indicating the potential of the models for untested compounds. The models were then used to predict the inhibitory potency of 16 test set compounds that were not included in the training set, and the predicted values were in good agreement with the experimental results. The final QSAR models along with the information gathered from 3D contour and 2D contribution maps should be useful for the design of novel inhibitors of PNP having improved potency.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><pmid>16203153</pmid><doi>10.1016/j.bmc.2005.08.055</doi><tpages>12</tpages></addata></record> |
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subjects | Biological and medical sciences CoMFA CoMSIA Enzyme Inhibitors - chemistry Enzyme Inhibitors - pharmacology HQSAR Inhibitors Kinetics Medical sciences Miscellaneous Models, Molecular Pharmacology. Drug treatments PNP Purine-Nucleoside Phosphorylase - antagonists & inhibitors QSAR Quantitative Structure-Activity Relationship |
title | Two- and three-dimensional quantitative structure–activity relationships for a series of purine nucleoside phosphorylase inhibitors |
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