Prediction of cytochrome P450 mediated metabolism
Cytochrome P450 enzymes (CYPs) form one of the most important enzyme families involved in the metabolism of xenobiotics. CYPs comprise many isoforms, which catalyze a wide variety of reactions, and potentially, a large number of different metabolites can be formed. However, it is often hard to ratio...
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Veröffentlicht in: | Advanced drug delivery reviews 2015-06, Vol.86, p.61-71 |
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description | Cytochrome P450 enzymes (CYPs) form one of the most important enzyme families involved in the metabolism of xenobiotics. CYPs comprise many isoforms, which catalyze a wide variety of reactions, and potentially, a large number of different metabolites can be formed. However, it is often hard to rationalize what metabolites these enzymes generate. In recent years, many different in silico approaches have been developed to predict binding or regioselective product formation for the different CYP isoforms. These comprise ligand-based methods that are trained on experimental CYP data and structure-based methods that consider how the substrate is oriented in the active site or/and how reactive the part of the substrate that is accessible to the heme group is. We will review key aspects for various approaches that are available to predict binding and site of metabolism (SOM), what outcome can be expected from the predictions, and how they could potentially be improved.
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doi_str_mv | 10.1016/j.addr.2015.04.020 |
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[Display omitted]</description><subject>Cytochrome P-450 Enzyme System - metabolism</subject><subject>Cytochrome P450</subject><subject>Docking</subject><subject>Humans</subject><subject>Ligand-based models</subject><subject>Ligands</subject><subject>Machine learning</subject><subject>Models, Biological</subject><subject>Models, Molecular</subject><subject>Molecular dynamics</subject><subject>Pharmaceutical Preparations - metabolism</subject><subject>Reactivity</subject><subject>Site of metabolism</subject><subject>Structure-based models</subject><issn>0169-409X</issn><issn>1872-8294</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kM1KAzEURoMotlZfwIXM0s2MN5mkyYAbEf-gYBcK7kImc4MpnaYmU6Fvb0qrS1cJybnf5TuEXFKoKNDpzaIyXRcrBlRUwCtgcETGVElWKtbwYzLOUFNyaD5G5CylBQBlcgqnZMREIxRQGBM6j9h5O_iwKoIr7HYI9jOGHos5F1D0-dMM2OXLYNqw9Kk_JyfOLBNeHM4JeX98eLt_LmevTy_3d7PSciGGspbG1KgE1ti2tWEtyNoCc50DlEZZC9ShUaCksl0jjMP8xFvlGsxFuK0n5Hqfu47ha4Np0L1PFpdLs8KwSTp3qyVICtOMsj1qY0gpotPr6HsTt5qC3qnSC71TpXeqNHCdN-Shq0P-ps01_0Z-3WTgdg9gbvntMepkPa5sVhLRDroL_r_8HwUyec4</recordid><startdate>20150623</startdate><enddate>20150623</enddate><creator>Olsen, Lars</creator><creator>Oostenbrink, Chris</creator><creator>Jørgensen, Flemming Steen</creator><general>Elsevier B.V</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>7X8</scope><orcidid>https://orcid.org/0000-0002-4232-2556</orcidid></search><sort><creationdate>20150623</creationdate><title>Prediction of cytochrome P450 mediated metabolism</title><author>Olsen, Lars ; Oostenbrink, Chris ; Jørgensen, Flemming Steen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c455t-37aa3e85e3ebb3a2b073c02fdf0e7a8cc01fea80878cd95afecc04b8f9e0204c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Cytochrome P-450 Enzyme System - metabolism</topic><topic>Cytochrome P450</topic><topic>Docking</topic><topic>Humans</topic><topic>Ligand-based models</topic><topic>Ligands</topic><topic>Machine learning</topic><topic>Models, Biological</topic><topic>Models, Molecular</topic><topic>Molecular dynamics</topic><topic>Pharmaceutical Preparations - metabolism</topic><topic>Reactivity</topic><topic>Site of metabolism</topic><topic>Structure-based models</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Olsen, Lars</creatorcontrib><creatorcontrib>Oostenbrink, Chris</creatorcontrib><creatorcontrib>Jørgensen, Flemming Steen</creatorcontrib><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>Advanced drug delivery reviews</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Olsen, Lars</au><au>Oostenbrink, Chris</au><au>Jørgensen, Flemming Steen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction of cytochrome P450 mediated metabolism</atitle><jtitle>Advanced drug delivery reviews</jtitle><addtitle>Adv Drug Deliv Rev</addtitle><date>2015-06-23</date><risdate>2015</risdate><volume>86</volume><spage>61</spage><epage>71</epage><pages>61-71</pages><issn>0169-409X</issn><eissn>1872-8294</eissn><abstract>Cytochrome P450 enzymes (CYPs) form one of the most important enzyme families involved in the metabolism of xenobiotics. CYPs comprise many isoforms, which catalyze a wide variety of reactions, and potentially, a large number of different metabolites can be formed. However, it is often hard to rationalize what metabolites these enzymes generate. In recent years, many different in silico approaches have been developed to predict binding or regioselective product formation for the different CYP isoforms. These comprise ligand-based methods that are trained on experimental CYP data and structure-based methods that consider how the substrate is oriented in the active site or/and how reactive the part of the substrate that is accessible to the heme group is. We will review key aspects for various approaches that are available to predict binding and site of metabolism (SOM), what outcome can be expected from the predictions, and how they could potentially be improved.
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subjects | Cytochrome P-450 Enzyme System - metabolism Cytochrome P450 Docking Humans Ligand-based models Ligands Machine learning Models, Biological Models, Molecular Molecular dynamics Pharmaceutical Preparations - metabolism Reactivity Site of metabolism Structure-based models |
title | Prediction of cytochrome P450 mediated metabolism |
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