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Structure-based prediction of free energy changes of binding of PTP1B inhibitors
The goals were (1) to understand the driving forces in the binding of small molecule inhibitors to the active site of PTP1B and (2) to develop a molecular mechanics-based empirical free energy function for compound potency prediction. A set of compounds with known activities was docked onto the acti...
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Published in: | Journal of computer-aided molecular design 2003-08, Vol.17 (8), p.495-513 |
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container_title | Journal of computer-aided molecular design |
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creator | Wang, Jing Chan, Shek Ling Ramnarayan, Kal |
description | The goals were (1) to understand the driving forces in the binding of small molecule inhibitors to the active site of PTP1B and (2) to develop a molecular mechanics-based empirical free energy function for compound potency prediction. A set of compounds with known activities was docked onto the active site. The related energy components and molecular surface areas were calculated. The bridging water molecules were identified and their contributions were considered. Linear relationships were explored between the above terms and the binding free energies of compounds derived based on experimental inhibition constants. We found that minimally three terms are required to give rise to a good correlation (0.86) with predictive power in five-group cross-validation test (q2 = 0.70). The dominant terms are the electrostatic energy and non-electrostatic energy stemming from the intra- and intermolecular interactions of solutes and from those of bridging water molecules in complexes. |
doi_str_mv | 10.1023/B:JCAM.0000004602.70594.5f |
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A set of compounds with known activities was docked onto the active site. The related energy components and molecular surface areas were calculated. The bridging water molecules were identified and their contributions were considered. Linear relationships were explored between the above terms and the binding free energies of compounds derived based on experimental inhibition constants. We found that minimally three terms are required to give rise to a good correlation (0.86) with predictive power in five-group cross-validation test (q2 = 0.70). The dominant terms are the electrostatic energy and non-electrostatic energy stemming from the intra- and intermolecular interactions of solutes and from those of bridging water molecules in complexes.</description><identifier>ISSN: 0920-654X</identifier><identifier>EISSN: 1573-4951</identifier><identifier>DOI: 10.1023/B:JCAM.0000004602.70594.5f</identifier><identifier>PMID: 14703121</identifier><language>eng</language><publisher>Netherlands: Springer Nature B.V</publisher><subject>Binding Sites ; Biophysics ; Calorimetry ; Drug Design ; Enzyme Inhibitors - chemical synthesis ; Enzyme Inhibitors - chemistry ; Enzyme Inhibitors - pharmacokinetics ; Models, Molecular ; Molecular biology ; Molecular Conformation ; Protein Tyrosine Phosphatase, Non-Receptor Type 1 ; Protein Tyrosine Phosphatases - antagonists & inhibitors ; Reproducibility of Results ; Solutes ; Structure-Activity Relationship ; Thermodynamics ; Water</subject><ispartof>Journal of computer-aided molecular design, 2003-08, Vol.17 (8), p.495-513</ispartof><rights>Kluwer Academic Publishers 2003</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c342t-d888e0221d7de49c89702fe56c4420b29d3a3483b9fb4c37118010613ff195123</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/14703121$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Jing</creatorcontrib><creatorcontrib>Chan, Shek Ling</creatorcontrib><creatorcontrib>Ramnarayan, Kal</creatorcontrib><title>Structure-based prediction of free energy changes of binding of PTP1B inhibitors</title><title>Journal of computer-aided molecular design</title><addtitle>J Comput Aided Mol Des</addtitle><description>The goals were (1) to understand the driving forces in the binding of small molecule inhibitors to the active site of PTP1B and (2) to develop a molecular mechanics-based empirical free energy function for compound potency prediction. 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subjects | Binding Sites Biophysics Calorimetry Drug Design Enzyme Inhibitors - chemical synthesis Enzyme Inhibitors - chemistry Enzyme Inhibitors - pharmacokinetics Models, Molecular Molecular biology Molecular Conformation Protein Tyrosine Phosphatase, Non-Receptor Type 1 Protein Tyrosine Phosphatases - antagonists & inhibitors Reproducibility of Results Solutes Structure-Activity Relationship Thermodynamics Water |
title | Structure-based prediction of free energy changes of binding of PTP1B inhibitors |
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