Computational Approaches for Antibacterial Drug Discovery
With the emerging problem of antibacterial drug resistance and resurgence of disease, there is immediate need for the development of new and effective therapeutic interventions to combat pathogens. Traditional methods of drug discovery are very expensive and time consuming, and carry high error rates. Computational approaches, on the other hand, predict drug targets and therapeutic agents with fewer side effects (i.e., minimal disease resurgence) and reduce the time and cost for discovery. Thus, the computational approaches have become a crucial part of drug development, as they streamline processing and testing in a cost-effective manner. This chapter highlights the significance and progress of computational approaches in antibacterial drug discovery.
KeywordsAnti-bacterial drug resistance Disease resurgence Disease pathogen Computational approaches Drug discovery
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