Unknown

Dataset Information

0

Complementarity between a docking and a high-throughput screen in discovering new cruzain inhibitors.


ABSTRACT: Virtual and high-throughput screens (HTS) should have complementary strengths and weaknesses, but studies that prospectively and comprehensively compare them are rare. We undertook a parallel docking and HTS screen of 197861 compounds against cruzain, a thiol protease target for Chagas disease, looking for reversible, competitive inhibitors. On workup, 99% of the hits were eliminated as false positives, yielding 146 well-behaved, competitive ligands. These fell into five chemotypes: two were prioritized by scoring among the top 0.1% of the docking-ranked library, two were prioritized by behavior in the HTS and by clustering, and one chemotype was prioritized by both approaches. Determination of an inhibitor/cruzain crystal structure and comparison of the high-scoring docking hits to experiment illuminated the origins of docking false-negatives and false-positives. Prioritizing molecules that are both predicted by docking and are HTS-active yields well-behaved molecules, relatively unobscured by the false-positives to which both techniques are individually prone.

SUBMITTER: Ferreira RS 

PROVIDER: S-EPMC2895358 | biostudies-literature | 2010 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

Complementarity between a docking and a high-throughput screen in discovering new cruzain inhibitors.

Ferreira Rafaela S RS   Simeonov Anton A   Jadhav Ajit A   Eidam Oliv O   Mott Bryan T BT   Keiser Michael J MJ   McKerrow James H JH   Maloney David J DJ   Irwin John J JJ   Shoichet Brian K BK  

Journal of medicinal chemistry 20100701 13


Virtual and high-throughput screens (HTS) should have complementary strengths and weaknesses, but studies that prospectively and comprehensively compare them are rare. We undertook a parallel docking and HTS screen of 197861 compounds against cruzain, a thiol protease target for Chagas disease, looking for reversible, competitive inhibitors. On workup, 99% of the hits were eliminated as false positives, yielding 146 well-behaved, competitive ligands. These fell into five chemotypes: two were pri  ...[more]

Similar Datasets

| S-EPMC4357395 | biostudies-literature
| S-EPMC4083181 | biostudies-other
| S-EPMC6042065 | biostudies-literature
| S-EPMC3260011 | biostudies-literature
| S-EPMC8319173 | biostudies-literature
| S-EPMC6200635 | biostudies-literature
| S-EPMC3082437 | biostudies-literature
| S-EPMC4801272 | biostudies-literature
| S-EPMC4764201 | biostudies-literature
| S-EPMC2765048 | biostudies-literature