An Introduction to Protein Informatics

by Karl-Heinz Zimmermann

Overview

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.

Product Details

ISBN-13:	9781461348399
Publisher:	Springer US
Publication date:	11/22/2012
Series:	The Springer International Series in Engineering and Computer Science , #749
Edition description:	Softcover reprint of the original 1st ed. 2003
Pages:	280
Product dimensions:	6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

1. Proteins.- 2. Biosynthesis.- 3. Pairwise Sequence Alignment.- 4. Multiple Sequence Alignment.- 5. Phylogenetic Trees.- 6. Secondary Structure Prediction.- 7. Tertiary Structure Prediction.- 8. Shastic Sampling Methods.- Appendices.- A The List of Considered Proteins.- B Rost-Sander Set.- C Substitution Matrices.- References.