Journal of Computer Science & Systems Biology

Bhasker Pant

Publications

• Research Article
  SVM Model for Amino Acid Composition Based Prediction of Mycobacterium tuberculosis
  Author(s): Lakshmi Pillai, Bhasker Pant, Usha chauhan and KR PardasaniLakshmi Pillai, Bhasker Pant, Usha chauhan and KR Pardasani
  
  The Tuberculosis is the classical human mycobacterial disease, caused by Mycobacterium tuberculosis. The disease primarily affect the lung and causes pulmonary tuberculosis, as well as affect intestine, bone, joints, meninges, lymph nodes, skin and other tissue of the body, causing extra pulmonary tuberculosis. Thus there arises the need to understand the relationships among various parameters of these proteins for prediction of their classes, structures and functionality. The computational approaches for prediction of their classes are fast and economical therefore can be used to complement the existing wet lab techniques. Realizing their importance, in this paper an attempt has been made to correlate them with their amino acid composition and predict them with fair accuracy. This is a novel method where Mycobacterium Tuberculosis has been classified on t.. Read More»
  DOI: 10.4172/jcsb.1000075

  Abstract PDF