Discovery of novel MDR-Mycobacterium tuberculosis inhibitor by new FRIGATE computational screen
With 1.6 million casualties annually and 2 billion people being infected, tuberculosis is still one of the most pressing healthcare challenges. Here we report on the new computational docking algorithm FRIGATE which unites continuous local optimization techniques (conjugate gradient method) with an...
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Published in | PloS one Vol. 6; no. 12; p. e28428 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Public Library of Science
02.12.2011
Public Library of Science (PLoS) |
Subjects | |
Online Access | Get full text |
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Summary: | With 1.6 million casualties annually and 2 billion people being infected, tuberculosis is still one of the most pressing healthcare challenges. Here we report on the new computational docking algorithm FRIGATE which unites continuous local optimization techniques (conjugate gradient method) with an inherently discrete computational approach in forcefield computation, resulting in equal or better scoring accuracies than several benchmark docking programs. By utilizing FRIGATE for a virtual screen of the ZINC library against the Mycobacterium tuberculosis (Mtb) enzyme antigen 85C, we identified novel small molecule inhibitors of multiple drug-resistant Mtb, which bind in vitro to the catalytic site of antigen 85C. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Conceived and designed the experiments: CS ZS BV VP VG MS. Performed the experiments: CS ZS VP VG MS. Analyzed the data: CS ZS BV VP VG MS. Contributed reagents/materials/analysis tools: CS ZS VP VG MS. Wrote the paper: CS ZS BV VG MS. Current address: Evotec AG, Hamburg, Germany Current address: Bayer Schering Pharma AG, Berlin, Germany Current address: AstraZeneca Ltd, DS Biophysics, Macclesfield, United Kingdom |
ISSN: | 1932-6203 1932-6203 |
DOI: | 10.1371/journal.pone.0028428 |