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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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 |
work_keys_str_mv |
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1725679759559491584 |