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CITE
C. Dharmashekara, A.S. Jain, P. Sushma, K. Shiva Prasad, C. Srinivasa, P. Ashwini, C. Shivamallu and S.S. Patil .(2020). "Antimicrobial Effect of Bergenia ciliate against LipL32 Protein from Leptospira Species via Computational Approach ". Journal of Veterinary Public Health, Vol. 18 Issue 2. Page No: 86-90
Antimicrobial Effect of Bergenia ciliate against LipL32 Protein from Leptospira Species via Computational Approach
Page No. : 86-90
ABSTRACT
Computational drug design is the key method for determining the affinity of small compounds for specific targets, Computational drug design is the key method for determining the affinity of small compounds for specific targets, which reduces time in industries by blending computational, biological, and chemical knowledge. Few natural phytochemical compounds have been extensively used as an important source of natural drugs for a longer period of time in order to reduce the risk of infectious diseases such as viruses, fungi, bacteria, and a few parasites which are highly pathogenic to human beings. Bergenia ciliate is one of the important traditional medicine, practices across the world. In the present investigation, the antimicrobial efficacy of major phytochemical compound bergenin isolated from Bergenia ciliate was evaluated against leptospiral outer membrane protein using an in-silico approach.Keywords: Bergenia ciliate, computational drug design, in-silico, Leptospira