Overview
Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 749)
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Table of contents (8 chapters)
Keywords
About this book
Protein informatics is a newer name for an already existing discipline. It encompasses the techniques used in bioinformatics and molecular modeling that are related to proteins. While bioinformatics is mainly concerned with the collection, organization, and analysis of biological data, molecular modeling is devoted to representation and manipulation of the structure of proteins.
Protein informatics requires substantial prerequisites on computer science, mathematics, and molecular biology. The approach chosen here, allows a direct and rapid grasp on the subject starting from basic knowledge of algorithm design, calculus, linear algebra, and probability theory.
An Introduction to Protein Informatics, a professional monograph will provide the reader a comprehensive introduction to the field of protein informatics. The text emphasizes mathematical and computational methods to tackle the central problems of alignment, phylogenetic reconstruction, and prediction and sampling of protein structure.
An Introduction to Protein Informatics is designed for a professional audience, composed of researchers and practitioners within bioinformatics, molecular modeling, algorithm design, optimization, and pattern recognition. This book is also suitable as a graduate-level text for students in computer science, mathematics, and biomedicine.
Authors and Affiliations
Bibliographic Information
Book Title: An Introduction to Protein Informatics
Authors: Karl-Heinz Zimmermann
Series Title: The Springer International Series in Engineering and Computer Science
DOI: https://doi.org/10.1007/978-1-4419-9210-9
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 2003
Hardcover ISBN: 978-1-4020-7578-0Published: 31 August 2003
Softcover ISBN: 978-1-4613-4839-9Published: 22 November 2012
eBook ISBN: 978-1-4419-9210-9Published: 06 December 2012
Series ISSN: 0893-3405
Edition Number: 1
Number of Pages: XVIII, 280
Topics: Theory of Computation, The Computing Profession, Computer Applications in Chemistry, Optimization, Statistics, general