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
Hauptverfasser: Pavani, Addepalli, Naushad, Shaik Mohammad, Stanley, Balraj Alex, Kamakshi, Renganathan Gnanambal, Abinaya, Krishnan, Amaresh Rao, Malempati, Uma, Addepally, Kutala, Vijay Kumar
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container_end_page 400
container_issue 4
container_start_page 393
container_title Pharmacogenomics
container_volume 16
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
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subjects 7-hydroxy warfarin
multiple linear regression
warfarin
title Mechanistic insights into the effect of
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