Taking you from basic pre-screening target selection to genetic modeling and valuable
data integration, this book examines
experimental methods, modeling, and computational techniques used to accelerate the drug target discovery process and assess the functionality of potential targets more effectively. World-renowned researchers from industry and academia cover many topics not found in most informatics books, including functional annotation, siRNA design, pathways, text mining, ontologies, systems biology, database management, data pipelining, and pharmacogenomics. The book also details the use of human simulation models and BioIT hardware for supporting in
silico research.
This well-written and cogen book is an excellent review for life scientists interested in getting an up-to-date overview of issues pertaining to the computational analysis of potential drug targets.
