Discovering Biomolecular Mechanisms with Computational Biology (Molecular Biology Intelligence Unit)

This anthology presents critical reviews of methods and high-impact applications in computational biology that lead to results that non-bioinformaticians must also know to design efficient experimental research plans. Discovering Biomolecular Mechanisms with Computational Biology explores the methodology of translating sequence strings into biological knowledge and considers exemplary groundbreaking results such as unexpected enzyme discoveries. This book also summarizes non-trivial theoretical predictions for regulatory and metabolic networks that have received experimental confirmation. Bioinformatics: mystery, astrology, or service technology? / Frank Eisenhaber -- Reliable and specific protein function prediction by combining homology with genomic(s) context / Martijn A. Huynen, Berend Snel, and Toni Gabalden -- Clues from three-dimensional structure analysis and molecular modelling: new insights into cytochrome P450 mechanisms and functions / Karin Schleinkofer and Thomas Dandekar -- Prediction of protein function: two basic concepts and one practical recipe / Frank Eisenhaber -- Extracting information for meaningful function inference through text-mining / Hong Pan ... [et al.] -- Literature and genome data mining for prioritizing disease-associated genes / Carolina Perez-Iratxeta, Peer Bork, and Miguel A. Andrade -- Model-based inference of transcriptional regulatory mechanisms from DNA microarray data / Harmen J. Bussemaker -- The predictive power of molecular network modelling: case studies of predictions with subsequent experimental verification / Stefan Schuster, Edda Klipp, and Marko Marhl -- Theory of early molecular evolution: predictions and confirmations / Edward N. Trifonov -- Hitchhiking mapping: limitations and potential for the identification of ecologically important genes / Christian Schlötterer -- Understanding the functional importance of human single nucleotide polymorphisms / Saurabh Asthana and Shamil Sunyaev -- Correlations between quantitative measures of genome evolution, expression, and function / Yuri I. Wolf, Liran Carmel, and Eugene V. Koonin In this anthology, leading researchers present critical reviews of methods and high-impact applications in computational biology that lead to results that also non-bioinformaticians must know to design efficient experimental research plans. Discovering Biomolecular Mechanisms with Computational Biology also summarizes non-trivial theoretical predictions for regulatory and metabolic networks that have received experimental confirmation. Discovering Biomolecular Mechanisms with Computational Biology is essential reading for life science researchers and higher-level students that work on biomolecular mechanisms and wish to understand the impact of computational biology for their success.