Mechanistic insights into the effect of
To evaluate the impact of and variants on binding and hydroxylation of warfarin. Multiple linear regression model of warfarin pharmacokinetics was developed from the dataset of patients (n = 199). Pymol based models were developed for the genetic variants. and variants exhibited high warfarin/7-hydr...
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Veröffentlicht in: | Pharmacogenomics 2015-03, Vol.16 (4), p.393-400 |
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container_title | Pharmacogenomics |
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creator | Pavani, Addepalli Naushad, Shaik Mohammad Stanley, Balraj Alex Kamakshi, Renganathan Gnanambal Abinaya, Krishnan Amaresh Rao, Malempati Uma, Addepally Kutala, Vijay Kumar |
description | To evaluate the impact of
and
variants on binding and hydroxylation of warfarin.
Multiple linear regression model of warfarin pharmacokinetics was developed from the dataset of patients (n = 199). Pymol based
models were developed for the genetic variants.
and
variants exhibited high warfarin/7-hydroxywarfarin (multiple linear regression model), dose-dependent disruption of hydrogen bonds with warfarin, dose-dependent increase in the distance between C7 of S-warfarin and Fe-O of CYP2C9, dose-dependent decrease in the glide scores (
).
and
variants result in disruption of hydrogen bonding interactions with warfarin and longer distance between C7 and Fe-O thus impairing warfarin 7-hydroxylation due to lower binding affinity of warfarin.
Original submitted 7 May 2014; Revision submitted 30 October 2014 |
doi_str_mv | 10.2217/pgs.14.185 |
format | Article |
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and
variants on binding and hydroxylation of warfarin.
Multiple linear regression model of warfarin pharmacokinetics was developed from the dataset of patients (n = 199). Pymol based
models were developed for the genetic variants.
and
variants exhibited high warfarin/7-hydroxywarfarin (multiple linear regression model), dose-dependent disruption of hydrogen bonds with warfarin, dose-dependent increase in the distance between C7 of S-warfarin and Fe-O of CYP2C9, dose-dependent decrease in the glide scores (
).
and
variants result in disruption of hydrogen bonding interactions with warfarin and longer distance between C7 and Fe-O thus impairing warfarin 7-hydroxylation due to lower binding affinity of warfarin.
Original submitted 7 May 2014; Revision submitted 30 October 2014</description><identifier>ISSN: 1462-2416</identifier><identifier>EISSN: 1744-8042</identifier><identifier>DOI: 10.2217/pgs.14.185</identifier><language>eng</language><publisher>Future Medicine Ltd</publisher><subject>7-hydroxy warfarin ; multiple linear regression ; warfarin</subject><ispartof>Pharmacogenomics, 2015-03, Vol.16 (4), p.393-400</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782,27907,27908</link.rule.ids></links><search><creatorcontrib>Pavani, Addepalli</creatorcontrib><creatorcontrib>Naushad, Shaik Mohammad</creatorcontrib><creatorcontrib>Stanley, Balraj Alex</creatorcontrib><creatorcontrib>Kamakshi, Renganathan Gnanambal</creatorcontrib><creatorcontrib>Abinaya, Krishnan</creatorcontrib><creatorcontrib>Amaresh Rao, Malempati</creatorcontrib><creatorcontrib>Uma, Addepally</creatorcontrib><creatorcontrib>Kutala, Vijay Kumar</creatorcontrib><title>Mechanistic insights into the effect of</title><title>Pharmacogenomics</title><description>To evaluate the impact of
and
variants on binding and hydroxylation of warfarin.
Multiple linear regression model of warfarin pharmacokinetics was developed from the dataset of patients (n = 199). Pymol based
models were developed for the genetic variants.
and
variants exhibited high warfarin/7-hydroxywarfarin (multiple linear regression model), dose-dependent disruption of hydrogen bonds with warfarin, dose-dependent increase in the distance between C7 of S-warfarin and Fe-O of CYP2C9, dose-dependent decrease in the glide scores (
).
and
variants result in disruption of hydrogen bonding interactions with warfarin and longer distance between C7 and Fe-O thus impairing warfarin 7-hydroxylation due to lower binding affinity of warfarin.
Original submitted 7 May 2014; Revision submitted 30 October 2014</description><subject>7-hydroxy warfarin</subject><subject>multiple linear regression</subject><subject>warfarin</subject><issn>1462-2416</issn><issn>1744-8042</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid/><recordid>eNqdjjsOwjAQBS0EEuHTcIJ0VAleszjpEYiGjt6KzDoxAgexzv0xghNQvXnFSCPECmSpFFSbZ8slYAn1biQyqBCLWqIaJ0atCoWgp2LGfJNSgUaZifWZbNcEz9Hb3Af2bRc5Qezz2FFOzpGNee8WYuKaO9Pyt3Ohj4fL_lS4IQ4vYuspWDLf96Crtz6QAWk-WSZlGUCTsrZ_i2-8JUPg</recordid><startdate>20150301</startdate><enddate>20150301</enddate><creator>Pavani, Addepalli</creator><creator>Naushad, Shaik Mohammad</creator><creator>Stanley, Balraj Alex</creator><creator>Kamakshi, Renganathan Gnanambal</creator><creator>Abinaya, Krishnan</creator><creator>Amaresh Rao, Malempati</creator><creator>Uma, Addepally</creator><creator>Kutala, Vijay Kumar</creator><general>Future Medicine Ltd</general><scope/></search><sort><creationdate>20150301</creationdate><title>Mechanistic insights into the effect of</title><author>Pavani, Addepalli ; Naushad, Shaik Mohammad ; Stanley, Balraj Alex ; Kamakshi, Renganathan Gnanambal ; Abinaya, Krishnan ; Amaresh Rao, Malempati ; Uma, Addepally ; Kutala, Vijay Kumar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-futurescience_futuremedicine_10_2217_pgs_14_1853</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>7-hydroxy warfarin</topic><topic>multiple linear regression</topic><topic>warfarin</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pavani, Addepalli</creatorcontrib><creatorcontrib>Naushad, Shaik Mohammad</creatorcontrib><creatorcontrib>Stanley, Balraj Alex</creatorcontrib><creatorcontrib>Kamakshi, Renganathan Gnanambal</creatorcontrib><creatorcontrib>Abinaya, Krishnan</creatorcontrib><creatorcontrib>Amaresh Rao, Malempati</creatorcontrib><creatorcontrib>Uma, Addepally</creatorcontrib><creatorcontrib>Kutala, Vijay Kumar</creatorcontrib><jtitle>Pharmacogenomics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pavani, Addepalli</au><au>Naushad, Shaik Mohammad</au><au>Stanley, Balraj Alex</au><au>Kamakshi, Renganathan Gnanambal</au><au>Abinaya, Krishnan</au><au>Amaresh Rao, Malempati</au><au>Uma, Addepally</au><au>Kutala, Vijay Kumar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mechanistic insights into the effect of</atitle><jtitle>Pharmacogenomics</jtitle><date>2015-03-01</date><risdate>2015</risdate><volume>16</volume><issue>4</issue><spage>393</spage><epage>400</epage><pages>393-400</pages><issn>1462-2416</issn><eissn>1744-8042</eissn><abstract>To evaluate the impact of
and
variants on binding and hydroxylation of warfarin.
Multiple linear regression model of warfarin pharmacokinetics was developed from the dataset of patients (n = 199). Pymol based
models were developed for the genetic variants.
and
variants exhibited high warfarin/7-hydroxywarfarin (multiple linear regression model), dose-dependent disruption of hydrogen bonds with warfarin, dose-dependent increase in the distance between C7 of S-warfarin and Fe-O of CYP2C9, dose-dependent decrease in the glide scores (
).
and
variants result in disruption of hydrogen bonding interactions with warfarin and longer distance between C7 and Fe-O thus impairing warfarin 7-hydroxylation due to lower binding affinity of warfarin.
Original submitted 7 May 2014; Revision submitted 30 October 2014</abstract><pub>Future Medicine Ltd</pub><doi>10.2217/pgs.14.185</doi></addata></record> |
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source | PubMed Central |
subjects | 7-hydroxy warfarin multiple linear regression warfarin |
title | Mechanistic insights into the effect of |
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