Computational Methods For Protein Structure Prediction And Modeling: Volume 1: Basic Characterization (Biological And Medical Physics, Biomedical Engineering)

ISBN 10: 0387333193 / ISBN 13: 9780387333199

Edité par Springer, 2006

This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. N° de réf. du vendeur ABNR-196920

Synopsis :

This book provides systematic technical expositions of the computational methods for all major aspects of protein structure analysis, prediction and modeling. The chapters have been designed to address comprehensively the main topics of the field. In addition, chapters will be connected seamlessly through a careful design of the overall structure of the book. Topics have been selected carefully so that the book would be useful to a broad readership, including students, postdoctoral fellows, professional practitioners, as well as bioinformatic experts who want to brush up topics related to their own research areas. The book can be used as a textbook for upper undergraduate-level or beginning graduate-level bioinformatics courses. To facilitate learning, four appendices describing the prerequisites for reading this book have been included, in (1) biology, (2) computer science, (3) physics and chemistry, and (4) mathematics and statistics.

Each chapter in the book is a self-contained review of a specific subject, designed to cover the following material: (1) the problem definition and a historical perspective, (2) mathematical or computational formulation of the problem, (3) computational methods and algorithms, (4) performance results, (5) existing software packages, and (6) the strengths, pitfalls, challenges, and future research directions.

À propos de l?auteur: Dr. Ying Xu is Regents-GRA Eminent Scholar and Professor at the University of Georgia. Dr. Dong Xu is the Director of the Digital Biology Laboratory at the University of Missouri-Columbia. Dr. Jie Liang is the Director for the Center for Bioinformatics at the University of Illinois at Chicago.

Détails bibliographiques

Titre : Computational Methods For Protein Structure ...
Éditeur : Springer
Date d'édition : 2006
Reliure : Couverture rigide
Etat : New