Docking and 3D QSAR Studies on p38α MAP Kinase Inhibitors

The p38 signaling cascade has emerged as an attractive target for the design of novel chemotherapeutic agents for the treatment of inflammatory diseases. Three dimensional quantitative structure- activity relationship (3D- QSAR) studies were performed on a series of 25, 2-ami...

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Main Authors: Mohan Babu Jatavath, Sree Kanth Sivan, Yamini Lingala, Vijjulatha Manga
Format: Article
Language:English
Published: Hindawi Limited 2011-01-01
Series:E-Journal of Chemistry
Online Access:http://dx.doi.org/10.1155/2011/184863
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spelling doaj-af2b7c7f597f4b649aae3ba77b2642b02020-11-24T22:48:05ZengHindawi LimitedE-Journal of Chemistry0973-49452090-98102011-01-01841596160510.1155/2011/184863Docking and 3D QSAR Studies on p38α MAP Kinase InhibitorsMohan Babu Jatavath0Sree Kanth Sivan1Yamini Lingala2Vijjulatha Manga3Dept. of Chemistry, Nizam College, Osmania University, Hyderabad-500 001, IndiaDept. of Chemistry, Nizam College, Osmania University, Hyderabad-500 001, IndiaDept. of Chemistry, Nizam College, Osmania University, Hyderabad-500 001, IndiaDept. of Chemistry, Nizam College, Osmania University, Hyderabad-500 001, IndiaThe p38 signaling cascade has emerged as an attractive target for the design of novel chemotherapeutic agents for the treatment of inflammatory diseases. Three dimensional quantitative structure- activity relationship (3D- QSAR) studies were performed on a series of 25, 2-aminothiazole analogs as inhibitors of p38α mitogen activated protein (MAP) kinase. The docking results provided a reliable conformational alignment scheme for the 3D-QSAR model. The 3D-QSAR model showed very good statistical results namely q2, r2 and r2pred values for both comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA). The CoMFA and CoMSIA models & docking results provided the most significant correlation of steric, electrostatic, hydrophobic, H-bond donor, H-bond acceptor fields with biological activities and the provided values were in good agreement with the experimental results. The information rendered from molecular modeling studies gave valuable clues to optimize the lead and design new potential inhibitors.http://dx.doi.org/10.1155/2011/184863
collection DOAJ
language English
format Article
sources DOAJ
author Mohan Babu Jatavath
Sree Kanth Sivan
Yamini Lingala
Vijjulatha Manga
spellingShingle Mohan Babu Jatavath
Sree Kanth Sivan
Yamini Lingala
Vijjulatha Manga
Docking and 3D QSAR Studies on p38α MAP Kinase Inhibitors
E-Journal of Chemistry
author_facet Mohan Babu Jatavath
Sree Kanth Sivan
Yamini Lingala
Vijjulatha Manga
author_sort Mohan Babu Jatavath
title Docking and 3D QSAR Studies on p38α MAP Kinase Inhibitors
title_short Docking and 3D QSAR Studies on p38α MAP Kinase Inhibitors
title_full Docking and 3D QSAR Studies on p38α MAP Kinase Inhibitors
title_fullStr Docking and 3D QSAR Studies on p38α MAP Kinase Inhibitors
title_full_unstemmed Docking and 3D QSAR Studies on p38α MAP Kinase Inhibitors
title_sort docking and 3d qsar studies on p38α map kinase inhibitors
publisher Hindawi Limited
series E-Journal of Chemistry
issn 0973-4945
2090-9810
publishDate 2011-01-01
description The p38 signaling cascade has emerged as an attractive target for the design of novel chemotherapeutic agents for the treatment of inflammatory diseases. Three dimensional quantitative structure- activity relationship (3D- QSAR) studies were performed on a series of 25, 2-aminothiazole analogs as inhibitors of p38α mitogen activated protein (MAP) kinase. The docking results provided a reliable conformational alignment scheme for the 3D-QSAR model. The 3D-QSAR model showed very good statistical results namely q2, r2 and r2pred values for both comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA). The CoMFA and CoMSIA models & docking results provided the most significant correlation of steric, electrostatic, hydrophobic, H-bond donor, H-bond acceptor fields with biological activities and the provided values were in good agreement with the experimental results. The information rendered from molecular modeling studies gave valuable clues to optimize the lead and design new potential inhibitors.
url http://dx.doi.org/10.1155/2011/184863
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AT vijjulathamanga dockingand3dqsarstudiesonp38amapkinaseinhibitors
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