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Cluster-based molecular docking study for in silico identification of novel 6-fluoroquinolones as potential inhibitors against Mycobacterium tuberculosis
Article first published online: 19 DEC 2012
Copyright © 2012 Wiley Periodicals, Inc.
Journal of Computational Chemistry
Volume 34, Issue 9, pages 790–801, 5 April 2013
How to Cite
Minovski, N., Perdih, A., Novic, M. and Solmajer, T. (2013), Cluster-based molecular docking study for in silico identification of novel 6-fluoroquinolones as potential inhibitors against Mycobacterium tuberculosis. J. Comput. Chem., 34: 790–801. doi: 10.1002/jcc.23205
- Issue published online: 26 FEB 2013
- Article first published online: 19 DEC 2012
- Manuscript Accepted: 30 NOV 2012
- Manuscript Revised: 22 OCT 2012
- Manuscript Received: 31 AUG 2012
- Ministry of Higher Education, Science and Technology of the Republic of Slovenia. Grant Numbers: P1-0017, Z1-4111
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