Comparative Molecular Field Analysis (CoMFA) for Thiotetrazole Alkynylacetanilides, a Non-Nucleoside Inhibitor of HIV-1 Double Mutant K103N/Y181C Reverse Transcriptase

Non-nucleoside reverse transcriptase inhibitors (NNRTIs) are allosteric inhibitors of the HIV-1 reverse transcriptase. HIV-1 resistance to nucleoside RT inhibitors such as AZT can arise through mutations in the coding region of RT. Recently a series of thioterazolyl acetanilides were rep...

Full description

Bibliographic Details
Main Authors: Sivan Sree Kanth, Kotla Sai Abhishake, Manga Vijjulatha
Format: Article
Language:English
Published: Hindawi Limited 2009-01-01
Series:E-Journal of Chemistry
Online Access:http://dx.doi.org/10.1155/2009/498285
id doaj-9a3d14a58ffc4247b7f58e7070ae2cdb
record_format Article
spelling doaj-9a3d14a58ffc4247b7f58e7070ae2cdb2020-11-24T23:53:20ZengHindawi LimitedE-Journal of Chemistry0973-49452090-98102009-01-016365165810.1155/2009/498285Comparative Molecular Field Analysis (CoMFA) for Thiotetrazole Alkynylacetanilides, a Non-Nucleoside Inhibitor of HIV-1 Double Mutant K103N/Y181C Reverse TranscriptaseSivan Sree Kanth0Kotla Sai Abhishake1Manga Vijjulatha2Department of Chemistry, Nizam College, (O.U), Basheerbagh, Hyderabad-500 001, IndiaDepartment of Chemistry, Nizam College, (O.U), Basheerbagh, Hyderabad-500 001, IndiaDepartment of Chemistry, Nizam College, (O.U), Basheerbagh, Hyderabad-500 001, IndiaNon-nucleoside reverse transcriptase inhibitors (NNRTIs) are allosteric inhibitors of the HIV-1 reverse transcriptase. HIV-1 resistance to nucleoside RT inhibitors such as AZT can arise through mutations in the coding region of RT. Recently a series of thioterazolyl acetanilides were reported as potent inhibitors of HIV-1 wild type and double mutant K103N/Y181C reverse transcriptase. In the present study 3D quantitative structure activity relationship (3D QSAR) studies involving comparative molecular field analysis (CoFMA) were performed on 28 thiotetrazole alkynylacetanilides. CoMFA was performed using sibyl software 6.7v. The molecules were divided into training set and test set. The developed model based on training set containing 20 molecules gave Q2 value of 0.587 and non cross validation R2 value of 0.961 and standard error of estimate 0.098 for CoMFA. The steric and electrostatic contributions are 42.7% and 57.3% The cross validation on test set gave R2 value of 0.74. The CoMFA model provided the most significant correlation of steric and electrostatic fields with biological activities. The information rendered by 3D QSAR model may afford valuable clues to optimize the lead and design new potential inhibitorshttp://dx.doi.org/10.1155/2009/498285
collection DOAJ
language English
format Article
sources DOAJ
author Sivan Sree Kanth
Kotla Sai Abhishake
Manga Vijjulatha
spellingShingle Sivan Sree Kanth
Kotla Sai Abhishake
Manga Vijjulatha
Comparative Molecular Field Analysis (CoMFA) for Thiotetrazole Alkynylacetanilides, a Non-Nucleoside Inhibitor of HIV-1 Double Mutant K103N/Y181C Reverse Transcriptase
E-Journal of Chemistry
author_facet Sivan Sree Kanth
Kotla Sai Abhishake
Manga Vijjulatha
author_sort Sivan Sree Kanth
title Comparative Molecular Field Analysis (CoMFA) for Thiotetrazole Alkynylacetanilides, a Non-Nucleoside Inhibitor of HIV-1 Double Mutant K103N/Y181C Reverse Transcriptase
title_short Comparative Molecular Field Analysis (CoMFA) for Thiotetrazole Alkynylacetanilides, a Non-Nucleoside Inhibitor of HIV-1 Double Mutant K103N/Y181C Reverse Transcriptase
title_full Comparative Molecular Field Analysis (CoMFA) for Thiotetrazole Alkynylacetanilides, a Non-Nucleoside Inhibitor of HIV-1 Double Mutant K103N/Y181C Reverse Transcriptase
title_fullStr Comparative Molecular Field Analysis (CoMFA) for Thiotetrazole Alkynylacetanilides, a Non-Nucleoside Inhibitor of HIV-1 Double Mutant K103N/Y181C Reverse Transcriptase
title_full_unstemmed Comparative Molecular Field Analysis (CoMFA) for Thiotetrazole Alkynylacetanilides, a Non-Nucleoside Inhibitor of HIV-1 Double Mutant K103N/Y181C Reverse Transcriptase
title_sort comparative molecular field analysis (comfa) for thiotetrazole alkynylacetanilides, a non-nucleoside inhibitor of hiv-1 double mutant k103n/y181c reverse transcriptase
publisher Hindawi Limited
series E-Journal of Chemistry
issn 0973-4945
2090-9810
publishDate 2009-01-01
description Non-nucleoside reverse transcriptase inhibitors (NNRTIs) are allosteric inhibitors of the HIV-1 reverse transcriptase. HIV-1 resistance to nucleoside RT inhibitors such as AZT can arise through mutations in the coding region of RT. Recently a series of thioterazolyl acetanilides were reported as potent inhibitors of HIV-1 wild type and double mutant K103N/Y181C reverse transcriptase. In the present study 3D quantitative structure activity relationship (3D QSAR) studies involving comparative molecular field analysis (CoFMA) were performed on 28 thiotetrazole alkynylacetanilides. CoMFA was performed using sibyl software 6.7v. The molecules were divided into training set and test set. The developed model based on training set containing 20 molecules gave Q2 value of 0.587 and non cross validation R2 value of 0.961 and standard error of estimate 0.098 for CoMFA. The steric and electrostatic contributions are 42.7% and 57.3% The cross validation on test set gave R2 value of 0.74. The CoMFA model provided the most significant correlation of steric and electrostatic fields with biological activities. The information rendered by 3D QSAR model may afford valuable clues to optimize the lead and design new potential inhibitors
url http://dx.doi.org/10.1155/2009/498285
work_keys_str_mv AT sivansreekanth comparativemolecularfieldanalysiscomfaforthiotetrazolealkynylacetanilidesanonnucleosideinhibitorofhiv1doublemutantk103ny181creversetranscriptase
AT kotlasaiabhishake comparativemolecularfieldanalysiscomfaforthiotetrazolealkynylacetanilidesanonnucleosideinhibitorofhiv1doublemutantk103ny181creversetranscriptase
AT mangavijjulatha comparativemolecularfieldanalysiscomfaforthiotetrazolealkynylacetanilidesanonnucleosideinhibitorofhiv1doublemutantk103ny181creversetranscriptase
_version_ 1725470404028399616