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Zusatztext "The more chemists know about how biologists identify and validate drug targets! the more they can help ensure a successful project out come. The first 300 pages of this volume are dedicated to just these issues! reviewed from a practicing biologist's perspective but described completely enough to provide useful insight for the medicinal chemist and pointing to online databases and tools that enterprising chemists might try using themselves. ... The remainder of the book covers some interesting emerging technologies! as well as computational infrastructure issues. ... "...The book is wide-ranging and yet practical in its review of in silico technologies! and the medicinal chemist will pick up useful background information in important target identification and validation techniques. The authors are clearly knowledgeable about their fields! and the editors have done an excellent job of melding this multi-authored book into a cohesive whole. ..." -- Peter Gund! IBM Federal Healthcare Practice! Germantown! Maryland! USA (in the Journal of Medicinal Chemistry! 2007! Vol. 30! No. 9) Informationen zum Autor Darryl Leon, Scott Markel Klappentext 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. Zusammenfassung 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. Inhaltsverzeichnis Foreword. Preface. Introduction.TARGET IDENTIFICATION: Pattern Matching. Tools for Computational Protein Annotation and Functional Assignment. The Impact of Genetic Variation on Drug Discovery and Development. Mining of Gene Expression Data. TARGET VALIDATION: Text Mining. Pathways and Networks. Molecular Interactions: Learning from Protein Complexes. In Silico siRNA Design. Predicting Protein Subcellular Localization Using Intelligent Systems. Three-Dimensional Structures in Target Discovery and Validation. RECENT TRENDS:Comparative Genomics. Pharmacogenomics. Target Identification and Validation Using Human Simulation Models. Using Protein Targets for In Silico Structure-Based Drug Discovery. COMPUTATIONAL INFRASTRUCTURE: Database Management. BioIT Hardware Configuration. BioIT Architecture: Software Architecture for Bioinformatics Research; Workflows and Data Pipelines. Ontologies. Index ...
