Computational biology drives discovery through its use of high-throughput informatics approaches. This book provides a road map of the current drug development process and how computational biology approaches play a critical role across the entire drug discovery pipeline. Through the use of previously unpublished, real-life case studies the impact of a range of computational approaches are discussed at various phases of the pipeline. Additionally, a focus section provides invative visualisation approaches, from both the drug discovery process as well as from other fields that utilise large datasets, recognising the increasing use of such techlogy. Serving the needs of early career and more experienced scientists, this up-to-date reference provides an essential introduction to the process and background of drug discovery, highlighting how computational researchers can contribute to that pipeline.
William T. Loging is Associate Professor of Genetics and Genomic Sciences and Director of Production Bioinformatics at the Icahn School of Medicine at Mount Sinai, New York. An award-winning expert who has worked on many successful drug development projects, his current research focuses on generating treatments for diseases, with patents secured for his work in both oncology and immunology.