Computational Methods for Protein Structure Prediction and Modeling : Volume 1: Basic Characterization

Ying Xu

ISBN 10: 0387333193 / ISBN 13: 9780387333199

Edité par Springer New York, 2006

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - An ultimate goal of modern biology is to understand how the genetic blueprint of cells(genotype)determinesthestructure,function,andbehaviorofalivingorganism (phenotype). At the center of this scienti c endeavor is characterizing the bioch- ical and cellular roles of proteins, the working molecules of the machinery of life. A key to understanding of functional proteins is the knowledge of their folded str- tures in a cell, as the structures provide the basis for studying proteins' functions and functional mechanisms at the molecular level. Researchers working on structure determination have traditionally selected - dividual proteins due to their functional importance in a biological process or pa- way of particular interest. Major research organizations often have their own protein X-ray crystallographic or/and nuclear magnetic resonance facilities for structure - termination, which have been conducted at a rate of a few to dozens of structures a year. Realizing the widening gap between the rates of protein identi cation (through DNA sequencing and identi cation of potential genes through bioinformatics an- ysis) and the determination of protein structures, a number of large scienti c init- tives have been launched in the past few years by government funding agencies in the United States, Europe, and Japan, with the intention to solve protein structures en masse, an effort called structural genomics. A number of structural genomics centers (factory-like facilities) have been established that promise to produce solved protein structures in a similar fashion to DNA sequencing.

N° de réf. du vendeur 9780387333199

Détails bibliographiques

• Titre: Computational Methods for Protein Structure Prediction and Modeling : Volume 1: Basic Characterization
• Éditeur: Springer New York
• Date de parution: 2006
• Langue: anglais
• ISBN à 10 chiffres: 0387333193
• ISBN à 13 chiffres: 9780387333199
• Reliure: Buch
• État de l'article: Neu
• Dimensions: 240 L x 164 H x 24 P (en millimètres) 240 millimètres de largeur par 164 millimètres de hauteur par 24 millimètres de profondeur
• Poids: 703 grammes

A propos de ce titre

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.