USE OF 3D QSAR METHODOLOGY FOR DATA MINING THE NATIONAL-CANCER-INSTITUTE REPOSITORY OF SMALL MOLECULES - APPLICATION TO HIV-1 REVERSE-TRANSCRIPTASE INHIBITION
R. Gussio et al., USE OF 3D QSAR METHODOLOGY FOR DATA MINING THE NATIONAL-CANCER-INSTITUTE REPOSITORY OF SMALL MOLECULES - APPLICATION TO HIV-1 REVERSE-TRANSCRIPTASE INHIBITION, Methods, 14(3), 1998, pp. 255-263
A three-dimensional (3D) stereoelectronic pharmacophore developed from
a 3D quantitative structure-activity relationship (QSAR) investigatio
n formed the basis of the development of a two-phase data-mining metho
dology to uncover novel leads to inhibit human immunodeficiency virus
type 1 (HIV-1) reverse transcriptase at the nonnucleoside binding site
. The database searching phase employed a field search for ligand requ
irements (such as log P, molecular volume) that were accessible from t
he database keys. Next, a 3D database search was performed that used a
n automated fitting procedure and the calculation of several binding p
arameters. These binding parameters were used to test the hits by a di
scriminant function that was previously trained to recognize active fr
om inactive analogs. During the structural evaluation phase of the met
hodology, conformational properties and complementary receptor feature
s of the hits were examined by 2D and 3D evaluations, which were follo
wed by molecular modeling investigations. When this method was applied
to a test database, an improvement from 6.4% to 100% active analogs w
as achieved. (C) 1998 Academic Press.