Edited by
Jonathan Mason, H. Lundbeck A/S, Copenhagen, Denmark
Description
Computer-assisted Drug Design (CADD) reviews the use of computational methods and how these can aid the drug discovery process. Experts
review in-silico approaches for the design and improvement of drug properties. Techniques for modelling, analysing and optimization of
properties including potency, selectivity and ADMET are presented. Methods discussed include the Quantitative Structure Activity Relationship
(QSAR), ligand and structure-based, lead discovery and new directions. Ideal for students and researchers in chemistry, biochemistry,
medicinal chemistry and pharmacology and scientists working in the pharmaceutical industries.
Audience:
For students and researchers in chemistry, biochemistry, medicinal chemistry and pharmacology and scientists working in the pharmaceutical industries.
