Volume 2 of this two-volume sequence focuses on protein Structure prediction and includes protein threading, de novo methods, applications to membrane proteins and protein complexes, structure-based drug design, as well as structure prediction as a systems problem. A series of appendices review the biological and chemical basics related to protein structure, computer science for structural informatics, and prerequisite mathematics and statistics. Computational Methods for Protein Structure Prediction and Modeling, Volume 2, provides an essential reference and practical companion for a broad audience ranging from experts in bioinformatics to "consumers" of this information in proteomic research. Written without extensive demands on prior knowledge, this volume is also suitable for use in graduate or advanced.
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.
Protein Structure Prediction by Protein Threading Ying Xu Zhijie Liu Liming Cai Dong Xu 1
De Novo Protein Structure Prediction Ling-Hong Hung Shing-Chung Ngan Ram Samudrala 43
Structure Prediction of Membrane Proteins Xiche Hu 65
Structure Prediction of Protein Complexes Brian Pierce Zhiping Weng 109
Structure-Based Drug Design Kunbin Qu Natasja Brooijmans 135
Protein Structure Prediction as a Systems Problem Dong Xu Ying Xu 177
Resources and Infrastructure for Structural Bioinformatics Dong Xu Jie Liang Ying Xu 207
Biological and Chemical Basics Related to Protein Structures Hong Guo Haobo Guo 229
Computer Science for Structural Informatics Guohui Lin Dong Xu Ying Xu 241
Physical and Chemical Basis for Structural Bioinformatics Hui Lu Ognjen Perisic Dong Xu 267
Mathematics and Statistics for Studying Protein Structures Yang Dai Ie Liang 299