Computer-Aided Design of Antimicrobial Lipopeptides as Prospective Drug Candidates

The authors focus on the properties of various lipopeptides which are produced as metabolites by bacteria and have shown to have antimicrobial properties. They provide a step-by-step method in identifying drug molecules for target compounds and testing various properties for drug efficacy. Both experienced researchers and beginners will benefit.

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Increase in antibiotic resistance has forced researchers to develop new drugs against microorganisms. Lipopeptides are produced as secondary metabolites by some microorganisms. Computer-aided Design of Antimicrobial Lipopeptides as Prospective Drug Candidates provides the identification of novel ligands for different antimicrobial lipopeptides. Along with identification, it also provides some of the in silico drug design processes, namely homology modelling, molecular docking, QSAR studies, drug ADMET studies and pharmacophore studies to check the ligand-lipopeptide interaction. Some lipopeptides have shown anti-cancerous properties too, and this book discusses the required templates to design new drugs using computational techniques.

Key Features:



Focuses on the use lipopeptides as new antimicrobial compounds
Presents the basics of in silico modelling for design and development of new drug molecules, and is therefore of interest to beginners in the field
Provides a step-by-step process for identification of drug molecules and testing its efficacy in silico
Couples with courses on patents and intellectual property rights