Understanding ligand-receptor non-covalent binding kinetics using molecular modeling
Kinetic properties may serve as critical differentiators and predictors of drug efficacy and safety, in addition to the traditionally focused binding affinity. However the quantitative structure-kinetics relationship (QSKR) for modeling and ligand design is still poorly understood. This review provi...
Gespeichert in:
Veröffentlicht in: | Frontiers in bioscience 2017-01, Vol.22 (6), p.960-981, Article 4527 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 981 |
---|---|
container_issue | 6 |
container_start_page | 960 |
container_title | Frontiers in bioscience |
container_volume | 22 |
creator | Tang, Zhiye Roberts, Christopher C Chang, Chia-En A |
description | Kinetic properties may serve as critical differentiators and predictors of drug efficacy and safety, in addition to the traditionally focused binding affinity. However the quantitative structure-kinetics relationship (QSKR) for modeling and ligand design is still poorly understood. This review provides an introduction to the kinetics of drug binding from a fundamental chemistry perspective. We focus on recent developments of computational tools and their applications to non-covalent binding kinetics. |
doi_str_mv | 10.2741/4527 |
format | Article |
fullrecord | <record><control><sourceid>pubmed_cross</sourceid><recordid>TN_cdi_pubmed_primary_27814657</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>27814657</sourcerecordid><originalsourceid>FETCH-LOGICAL-c360t-c677c1495aa91936948b168f4847ab419cd5455a477f5415f85f249c02b52a163</originalsourceid><addsrcrecordid>eNo9kE1Lw0AURQdRbGn7FyQLt6PzJm--llLUCgU37TpMJpMSTSZlJhH896ZEXb37Loe7OISsgT1whfCIgqsrsuRKaiql0ddkCczk1BiUC7JJ6YMxxg2AEfqWLLjSgFKoJTkcQ-VjGmyomnDK2uY0JRq98-ehj1noA3X9l219GLKymaHPJvihcSkb0-Xt-ta7sbVxSpVvp2pNbmrbJr_5vStyfHk-bHd0__76tn3aU5dLNlAnlXKARlhrwOTSoC5B6ho1KlsiGFcJFMKiUrVAELUWNUfjGC8FtyDzFbmfd13sU4q-Ls6x6Wz8LoAVFy_FxcuE3c3YeSw7X_1DfxbyHx7ZXGA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Understanding ligand-receptor non-covalent binding kinetics using molecular modeling</title><source>MEDLINE</source><source>Alma/SFX Local Collection</source><creator>Tang, Zhiye ; Roberts, Christopher C ; Chang, Chia-En A</creator><creatorcontrib>Tang, Zhiye ; Roberts, Christopher C ; Chang, Chia-En A</creatorcontrib><description>Kinetic properties may serve as critical differentiators and predictors of drug efficacy and safety, in addition to the traditionally focused binding affinity. However the quantitative structure-kinetics relationship (QSKR) for modeling and ligand design is still poorly understood. This review provides an introduction to the kinetics of drug binding from a fundamental chemistry perspective. We focus on recent developments of computational tools and their applications to non-covalent binding kinetics.</description><identifier>ISSN: 1093-9946</identifier><identifier>EISSN: 2768-6698</identifier><identifier>EISSN: 1093-4715</identifier><identifier>DOI: 10.2741/4527</identifier><identifier>PMID: 27814657</identifier><language>eng</language><publisher>Singapore</publisher><subject>Animals ; beta-Cyclodextrins - chemistry ; beta-Cyclodextrins - metabolism ; Binding Sites ; HIV Protease - chemistry ; HIV Protease - metabolism ; HIV Protease Inhibitors - pharmacokinetics ; HIV Protease Inhibitors - pharmacology ; Humans ; Kinetics ; Ligands ; Models, Molecular ; Molecular Dynamics Simulation ; Polycyclic Compounds - chemistry ; Polycyclic Compounds - metabolism ; Protein Binding ; Receptors, Drug - chemistry ; Receptors, Drug - metabolism ; Receptors, G-Protein-Coupled - chemistry ; Receptors, G-Protein-Coupled - metabolism ; Structure-Activity Relationship</subject><ispartof>Frontiers in bioscience, 2017-01, Vol.22 (6), p.960-981, Article 4527</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c360t-c677c1495aa91936948b168f4847ab419cd5455a477f5415f85f249c02b52a163</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27814657$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tang, Zhiye</creatorcontrib><creatorcontrib>Roberts, Christopher C</creatorcontrib><creatorcontrib>Chang, Chia-En A</creatorcontrib><title>Understanding ligand-receptor non-covalent binding kinetics using molecular modeling</title><title>Frontiers in bioscience</title><addtitle>Front Biosci (Landmark Ed)</addtitle><description>Kinetic properties may serve as critical differentiators and predictors of drug efficacy and safety, in addition to the traditionally focused binding affinity. However the quantitative structure-kinetics relationship (QSKR) for modeling and ligand design is still poorly understood. This review provides an introduction to the kinetics of drug binding from a fundamental chemistry perspective. We focus on recent developments of computational tools and their applications to non-covalent binding kinetics.</description><subject>Animals</subject><subject>beta-Cyclodextrins - chemistry</subject><subject>beta-Cyclodextrins - metabolism</subject><subject>Binding Sites</subject><subject>HIV Protease - chemistry</subject><subject>HIV Protease - metabolism</subject><subject>HIV Protease Inhibitors - pharmacokinetics</subject><subject>HIV Protease Inhibitors - pharmacology</subject><subject>Humans</subject><subject>Kinetics</subject><subject>Ligands</subject><subject>Models, Molecular</subject><subject>Molecular Dynamics Simulation</subject><subject>Polycyclic Compounds - chemistry</subject><subject>Polycyclic Compounds - metabolism</subject><subject>Protein Binding</subject><subject>Receptors, Drug - chemistry</subject><subject>Receptors, Drug - metabolism</subject><subject>Receptors, G-Protein-Coupled - chemistry</subject><subject>Receptors, G-Protein-Coupled - metabolism</subject><subject>Structure-Activity Relationship</subject><issn>1093-9946</issn><issn>2768-6698</issn><issn>1093-4715</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo9kE1Lw0AURQdRbGn7FyQLt6PzJm--llLUCgU37TpMJpMSTSZlJhH896ZEXb37Loe7OISsgT1whfCIgqsrsuRKaiql0ddkCczk1BiUC7JJ6YMxxg2AEfqWLLjSgFKoJTkcQ-VjGmyomnDK2uY0JRq98-ehj1noA3X9l219GLKymaHPJvihcSkb0-Xt-ta7sbVxSpVvp2pNbmrbJr_5vStyfHk-bHd0__76tn3aU5dLNlAnlXKARlhrwOTSoC5B6ho1KlsiGFcJFMKiUrVAELUWNUfjGC8FtyDzFbmfd13sU4q-Ls6x6Wz8LoAVFy_FxcuE3c3YeSw7X_1DfxbyHx7ZXGA</recordid><startdate>20170101</startdate><enddate>20170101</enddate><creator>Tang, Zhiye</creator><creator>Roberts, Christopher C</creator><creator>Chang, Chia-En A</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20170101</creationdate><title>Understanding ligand-receptor non-covalent binding kinetics using molecular modeling</title><author>Tang, Zhiye ; Roberts, Christopher C ; Chang, Chia-En A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c360t-c677c1495aa91936948b168f4847ab419cd5455a477f5415f85f249c02b52a163</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Animals</topic><topic>beta-Cyclodextrins - chemistry</topic><topic>beta-Cyclodextrins - metabolism</topic><topic>Binding Sites</topic><topic>HIV Protease - chemistry</topic><topic>HIV Protease - metabolism</topic><topic>HIV Protease Inhibitors - pharmacokinetics</topic><topic>HIV Protease Inhibitors - pharmacology</topic><topic>Humans</topic><topic>Kinetics</topic><topic>Ligands</topic><topic>Models, Molecular</topic><topic>Molecular Dynamics Simulation</topic><topic>Polycyclic Compounds - chemistry</topic><topic>Polycyclic Compounds - metabolism</topic><topic>Protein Binding</topic><topic>Receptors, Drug - chemistry</topic><topic>Receptors, Drug - metabolism</topic><topic>Receptors, G-Protein-Coupled - chemistry</topic><topic>Receptors, G-Protein-Coupled - metabolism</topic><topic>Structure-Activity Relationship</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tang, Zhiye</creatorcontrib><creatorcontrib>Roberts, Christopher C</creatorcontrib><creatorcontrib>Chang, Chia-En A</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><jtitle>Frontiers in bioscience</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tang, Zhiye</au><au>Roberts, Christopher C</au><au>Chang, Chia-En A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Understanding ligand-receptor non-covalent binding kinetics using molecular modeling</atitle><jtitle>Frontiers in bioscience</jtitle><addtitle>Front Biosci (Landmark Ed)</addtitle><date>2017-01-01</date><risdate>2017</risdate><volume>22</volume><issue>6</issue><spage>960</spage><epage>981</epage><pages>960-981</pages><artnum>4527</artnum><issn>1093-9946</issn><eissn>2768-6698</eissn><eissn>1093-4715</eissn><abstract>Kinetic properties may serve as critical differentiators and predictors of drug efficacy and safety, in addition to the traditionally focused binding affinity. However the quantitative structure-kinetics relationship (QSKR) for modeling and ligand design is still poorly understood. This review provides an introduction to the kinetics of drug binding from a fundamental chemistry perspective. We focus on recent developments of computational tools and their applications to non-covalent binding kinetics.</abstract><cop>Singapore</cop><pmid>27814657</pmid><doi>10.2741/4527</doi><tpages>22</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1093-9946 |
ispartof | Frontiers in bioscience, 2017-01, Vol.22 (6), p.960-981, Article 4527 |
issn | 1093-9946 2768-6698 1093-4715 |
language | eng |
recordid | cdi_pubmed_primary_27814657 |
source | MEDLINE; Alma/SFX Local Collection |
subjects | Animals beta-Cyclodextrins - chemistry beta-Cyclodextrins - metabolism Binding Sites HIV Protease - chemistry HIV Protease - metabolism HIV Protease Inhibitors - pharmacokinetics HIV Protease Inhibitors - pharmacology Humans Kinetics Ligands Models, Molecular Molecular Dynamics Simulation Polycyclic Compounds - chemistry Polycyclic Compounds - metabolism Protein Binding Receptors, Drug - chemistry Receptors, Drug - metabolism Receptors, G-Protein-Coupled - chemistry Receptors, G-Protein-Coupled - metabolism Structure-Activity Relationship |
title | Understanding ligand-receptor non-covalent binding kinetics using molecular modeling |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-19T03%3A32%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-pubmed_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Understanding%20ligand-receptor%20non-covalent%20binding%20kinetics%20using%20molecular%20modeling&rft.jtitle=Frontiers%20in%20bioscience&rft.au=Tang,%20Zhiye&rft.date=2017-01-01&rft.volume=22&rft.issue=6&rft.spage=960&rft.epage=981&rft.pages=960-981&rft.artnum=4527&rft.issn=1093-9946&rft.eissn=2768-6698&rft_id=info:doi/10.2741/4527&rft_dat=%3Cpubmed_cross%3E27814657%3C/pubmed_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/27814657&rfr_iscdi=true |