Three-dimensional quantitative structure-activity relationship modeling of gamma-secretase inhibitors using molecular field analysis.
Three-dimensional quantitative structure-activity relationship analysis of a set of 79 analogs of gamma-secretase inhibitors was performed by molecular field analysis with genetic partial least squares method to investigate the substitutional requirements to derive a predictive model and for the favorable receptor-drug interaction that may be used for the designing of a novel gamma-secretase inhibitors. The developed molecular field analysis model has a good fit, with r2 value of 0.952 and cross-validated coefficient, r2(cv), value of 0.931. Predictive ability of the developed model was further assessed using test set of 19 compounds and r2(pred) was found to be 0.665.
Sammi
Tarnvir
T
Department of Pharmaceutical Science and Drug Research, Punjabi University, Patiala, Punjab 147002, India.
Silakari
Om
O
Ravikumar
Muttineni
M
D053829:Amyloid Precursor Protein Secretases / Q000037:antagonists & inhibitors*; D004353:Drug Evaluation, Preclinical; D004791:Enzyme Inhibitors / Q000737:chemistry; D006801:Humans; D008958:Models, Molecular; D015394:Molecular Structure; D021281:Quantitative Structure-Activity Relationship; D055672:Static Electricity
D004791:Enzyme Inhibitors; D053829:Amyloid Precursor Protein Secretases