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Mycobacterium tuberculosis (Mtb) is a successful pathogen causing tuberculosis (TB). One third ofthe world population is affected by Mtb. Tuberculosis Transcription Factor F (TTF) protein belongs to ECF ? sub family, helps in the specific transcription initiation. TTF controls the expression of 14induced genes and plays a significant role in the expression of SigB and SigC Proteins which are important for virulence.
In the present study TTF homology model was generated with the help of comparative homology modeling techniques using pair wise sequence alignment. The predicted 3D model was subjected to refinement and validated. Virtual screening studies were performed with an In-house library to identify a lead molecule that can inhibit the TTF protein. The TTF protein is considered
as novel target for the development of new molecular entities (NMEs) useful for tuberculosis treatment.
M. Kiran Kumar is Assistant Professor (C) at The Department of Chemistry, Nizam College, Osmania University since 2010. He is a doctoral
research fellow working on identifying novel leads for Tuberculosis therapy. His field of research interest includes identification of new molecular entities (NME?s) using Computational Chemistry, Chemical - Biology and Cheminformatics and Bioinformatics related Software tools. He received an award for Best Oral Presentation at the 30th Annual Conference Indian Council of Chemists - 2011. He has been mentoring M. Sc. and M. Pharmacy students in their dissertation work and actively involved in organizing Seminars and workshops for students. Mr. M. Kiran Kumar published 04 research articles in reputed international journals and has presented about 20 papers at various International and National Conferences.
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