Brucella Miletensis: Identification and Characterization of Potential Drug Targets

Authored by Jangampalli Adi Pradeepkiran, this comprehensive book presents a systematic approach to identifying and characterizing drug targets using bioinformatics. By leveraging the power of bioinformatic tools, the book demonstrates the potential for identifying virulence targets in pathogenic bacteria and viruses, with a specific focus on B. melitensis 16M.

Systematic Identification of Drug Targets

The book employs a step-by-step approach to understanding drug targets, starting with the identification of putative genes as potential drug targets. A subtractive genomic approach is used to identify the virulent genes of B. melitensis that negatively impact human health. The book highlights twelve potential virulence genes as drug targets, and explores the screening of potential drugs against the bacterium’s virulence genes through molecular modeling, computational screening, drug discovery, and molecular docking studies.

In Silico Approaches for Drug Target Identification

The book showcases the power of in silico approaches in identifying drug targets in B. melitensis 16M. The author demonstrates how to identify and characterize vaccine targets for Brucella melitensis, and presents in silico screening and identification of novel drug targets from the total Brucella melitensis proteome.

Computational Modeling and Evaluation

The book covers computational modeling and evaluation of the best potential drug targets through comparative modeling, molecular docking, and dynamics simulations of novel drug targets. Additionally, it provides in silico validation and ADMET analysis for best lead molecules, offering valuable insights for researchers and scientists.

Key Features

• Covers the identification and characterization of vaccine targets for Brucella melitensis
• Presents in silico screening and the identification of novel drug targets
• Offers computational modeling and evaluations for potential drug targets
• Provides molecular docking and dynamics simulations for novel drug targets
• Details in silico validation and ADMET analysis for best lead molecules

Published by Elsevier Science in March 2021, this book is an essential resource for researchers and scientists working in the field of bioinformatics and drug target identification.