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""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 Through the use of previously unpublished, real-life case studies the impact of a range of computational approaches are discussed at various phases of the pipeline.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 innovative visualisation approaches, from both the drug discovery process as well as from other fields that utilise large datasets, recognising the increasing use of such technology. 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"--Provided by publisher."

"This book is the first systems biology text to focus on how systems biology can be specifically applied to enhance drug discovery and development, with particular emphasis on real-world examples. Other texts on systems biology to date have focused on particular subdisciplines of systems biology (such as cellular networks) and have not specifically addressed drug discovery and development. This book introduces key methodologies and technical approaches for helping to solve many of the current challenges facing the pharmaceutical and biotechnology industries."

"This book contains case studies of the discovery of erythromycin analogs (antibiotics), Tagamet, and Ultiva (remifentanil). Discusses the discovery of agents for the treatment and management of bacterial infections, Parkinson's disease, psoriasis, ulcers and stomach pain, atopic dermatitis, asthma, and cancer. Contains chapters on combinatorial chemistry, molecular biology-based drug discovery, genomics, and chemogenomics.The first volume of this set thoroughly describes conceptualizing a drug, creating a library of candidates for testing, screening those candidates for in vitro and in vivo activity, conducting and analyzing the results of clinical trials, and revising the drug as necessary."

"This book introduces drug researchers to the novel computational approaches of pathway analysis and explains the existing applications that can save time and money in the drug discovery process. It covers traditional computational methods and software for pathway analysis microarray, proteomics, and metabolomics. It explains pathway reconstruction of diseases and toxic states, pathway analysis in various phases, dynamic modeling of drug responses, and more."

"The growth in the bioinformatics and computational biology fields over the last few years has been remarkable. The analysis of the datasets of next generation sequencing needs new algorithms and approaches from fields such as databases, statistics, Data mining, machine learning, optimization, computer science and artificial intelligence. Also systems biology has also been emerging as an alternative to the reductionist view that dominated biological research in the last decades. This book presents the results of the 6th International Conference on Practical Applications of Computational Biology & Bioinformatics held at University of Salamanca, Spain, 28-30th March, 2012 which brought together interdisciplinary scientists that have a strong background in the biological and computational sciences."

"This is the first book to provide a complete overview of recent advances in the field and explore their tremendous potential for drug discovery and rational drug design. With chapters written by one or more leading experts in their specialty areas, the book addresses the chemistry, biology, and toxicology of aminoglycosides.Aminoglycoside antibiotics : from chemical biology to drug discovery is a great resource for academic and industrial researchers in drug design and mechanism studies and for researchers studying antibiotic resistance, antibiotic design and synthesis, and the discovery of novel pharmaceuticals."

"Systems biology in cancer research and drug discovery provides a unique collection of chapters, by world-class researchers, describing the use of integrated systems biology and network modeling in the cancer field where traditional tools have failed to deliver expected promise. This book touches four applications/aspects of systems biology, (i) in understanding aberrant signaling in cancer, (ii) in identifying biomarkers and prognostic markers especially focused on angiogenesis pathways, (iii) in unwinding microRNAs complexity, and (iv) in anticancer drug discovery and in clinical trial design. This book reviews the state-of-the-art knowledge and touches upon cutting edge newer and improved applications especially in the area of network modeling. It is aimed at an audience ranging from students, academics, basic researcher and clinicians in cancer research. "

"This book the only comprehensive guide of its kind, this groundbreaking two-volume resource provides an overview of the entire sequence of operations involved in drug discovery and development from initial conceptualization to commercialization to clinicians and medical practitioners.Volume 2 : drug development delves into the nitty-gritty details of optimizing the synthetic route, drug manufacturing, outsourcing, and marketing-including drug coloring and delivery methods.Featuring contributions from a world-class team of experts, Drug discovery and development :- Features fascinating case studies, including the discovery and development of erythromycin analogs, Tagamet, and Ultiva (remifentanil)- Discusses the discovery of medications for bacterial infections, Parkinson's disease, psoriasis, peptic ulcers, atopic dermatitis, asthma, and cancer- Includes chapters on combinatorial chemistry, molecular biology-based drug discovery, genomics, and chemogenomics"