TY - JOUR
T1 - CoMFA and CoMSIA analyses of highly selective pipecolic acid based TNF-α converting enzyme (TACE) inhibitors using docked conformations for molecular alignment
AU - Bahia, Malkeet Singh
AU - Chand, Sukhvir
AU - Gunda, Shravan Kumar
AU - Gade, Shwetha Reddy
AU - Mahmood, Saikh
AU - Silakari, Om
PY - 2011/6
Y1 - 2011/6
N2 - Molecular modeling (MM) study is performed for Pipecolic acid based derivatives (PSAs) of tumor necrosis factor-α converting enzyme (TACE) inhibitors because of their very high selectivity for TACE over MMP-1. MM study was carried out by Comparative Molecular Field Analysis (CoMFA) and Comparative Molecular field Similarity Indices Analysis (CoMSIA) approaches. Computational docking simulations have also been performed to explore atomic details of TACE/PSA interactions and to identify the most important structural features of PSAs vital for TACE inhibitory activity. Molecular modeling study was performed using probable bioactive conformations, generated employing docking, for molecular alignment. The CoMSIA model resulted to be more predictive than CoMFA model, and gave conventional r2 0.996, r2 cv 0.765, q2 0.783, SEE 0.025, F-value 472.149, r2 boot 0.999 and r2 test 0.788. Generated 3D-QSAR field contributions (contour maps) and results of docking analysis showed good correlation. Therefore, present studies will be useful for designing new molecules with improved TACE inhibitory activity in future.
AB - Molecular modeling (MM) study is performed for Pipecolic acid based derivatives (PSAs) of tumor necrosis factor-α converting enzyme (TACE) inhibitors because of their very high selectivity for TACE over MMP-1. MM study was carried out by Comparative Molecular Field Analysis (CoMFA) and Comparative Molecular field Similarity Indices Analysis (CoMSIA) approaches. Computational docking simulations have also been performed to explore atomic details of TACE/PSA interactions and to identify the most important structural features of PSAs vital for TACE inhibitory activity. Molecular modeling study was performed using probable bioactive conformations, generated employing docking, for molecular alignment. The CoMSIA model resulted to be more predictive than CoMFA model, and gave conventional r2 0.996, r2 cv 0.765, q2 0.783, SEE 0.025, F-value 472.149, r2 boot 0.999 and r2 test 0.788. Generated 3D-QSAR field contributions (contour maps) and results of docking analysis showed good correlation. Therefore, present studies will be useful for designing new molecules with improved TACE inhibitory activity in future.
KW - CoMFA
KW - CoMSIA
KW - Docking
KW - Rheumatoid arthritis
KW - TACE inhibitors
UR - http://www.scopus.com/inward/record.url?scp=79955753996&partnerID=8YFLogxK
U2 - 10.2174/157018011795514195
DO - 10.2174/157018011795514195
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
AN - SCOPUS:79955753996
SN - 1570-1808
VL - 8
SP - 430
EP - 439
JO - Letters in Drug Design and Discovery
JF - Letters in Drug Design and Discovery
IS - 5
ER -