3D-QSAR studies of triazolopyrimidine derivatives of Plasmodium falciparum dihydroorotate dehydrogenase inhibitors using a combination of molecular dynamics, docking, and genetic algorithm-based methods.
Ontology highlight
ABSTRACT: A series of 35 triazolopyrimidine analogues reported as Plasmodium falciparum dihydroorotate dehydrogenase (PfDHODH) inhibitors were optimized using quantum mechanics methods, and their binding conformations were studied by docking and 3D quantitative structure-activity relationship studies. Genetic algorithm-based criteria was adopted for selection of training and test sets while maintaining structural diversity of training and test sets, which is also very crucial for model development and validation. Both the comparative molecular field analyses ([Formula: see text], [Formula: see text]) and comparative molecular similarity indices analyses ([Formula: see text], [Formula: see text]) show excellent correlation and high predictive power. Furthermore, molecular dynamics simulations were pe
SUBMITTER: Shah P
PROVIDER: S-EPMC3375378 | biostudies-literature | 2012 Jul
REPOSITORIES: biostudies-literature
ACCESS DATA