Identification of Novel Antimalarial Chemotypes via Chemoinformatic Compound Selection Methods for a High-Throughput Screening Program against the Novel Malarial Target, PfNDH2: Increasing Hit Rate via Virtual Screening Methods
Author(s) -
Raman Sharma,
Alexandre S. Lawrenson,
Nicholas Fisher,
Ashley J. Warman,
Alison E. Shone,
Alasdair Hill,
Alison Mbekeani,
Chandrakala Pidathala,
Richard K. Amewu,
Suet C. Leung,
Peter Gibbons,
David W. Hong,
Paul A. Stocks,
Gemma L. Nixon,
James Chadwick,
Joanne Shearer,
Ian Gowers,
David Cronk,
Serge P. Parel,
Paul M. O’Neill,
Stephen A. Ward,
Giancarlo A. Biagini,
Neil G. Berry
Publication year - 2012
Publication title -
journal of medicinal chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.01
H-Index - 261
eISSN - 1520-4804
pISSN - 0022-2623
DOI - 10.1021/jm3001482
Subject(s) - virtual screening , chemical space , chemistry , high throughput screening , drug discovery , chemical library , cheminformatics , malaria , in silico , chemotype , phenotypic screening , lipinski's rule of five , antimalarial agent , enzyme , computational biology , combinatorial chemistry , plasmodium falciparum , pharmacology , biochemistry , small molecule , biology , phenotype , computational chemistry , chromatography , gene , essential oil , immunology
Malaria is responsible for approximately 1 million deaths annually; thus, continued efforts to discover new antimalarials are required. A HTS screen was established to identify novel inhibitors of the parasite's mitochondrial enzyme NADH:quinone oxidoreductase (PfNDH2). On the basis of only one known inhibitor of this enzyme, the challenge was to discover novel inhibitors of PfNDH2 with diverse chemical scaffolds. To this end, using a range of ligand-based chemoinformatics methods, ~17000 compounds were selected from a commercial library of ~750000 compounds. Forty-eight compounds were identified with PfNDH2 enzyme inhibition IC(50) values ranging from 100 nM to 40 μM and also displayed exciting whole cell antimalarial activity. These novel inhibitors were identified through sampling 16% of the available chemical space, while only screening 2% of the library. This study confirms the added value of using multiple ligand-based chemoinformatic approaches and has successfully identified novel distinct chemotypes primed for development as new agents against malaria.
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