Introduction to protein structure prediction : methods and algorithms / edited by Huzefa Rangwala, George Karypis. — Hoboken, N.J. : Wiley, c2010. – (58.17421/I61u)

Contents

    CONTENTS
    
    PREFACE
    CONTRIBUTORS
    1 INTRODUCTION TO PROTEIN STRUCTURE PREDICTION
    2 CASP: A DRIVING FORCE IN PROTEIN STRUCTURE MODELING
    3 THE PROTEIN STRUCTURE INITIATIVE
    4 PREDICTION OF ONE-DIMENSIONAL STRUCTURAL PROPERTIES OF PROTEINS BY INTEGRATED NEURAL NETWORKS
    5 LOCAL STRUCTURE ALPHABETS
    6 SHEDDING LIGHT ON TRANSMEMBRANE TOPOLOGY
    7 CONTACT MAP PREDICTION BY MACHINE LEARNING
    8 A SURVEY OF REMOTE HOMOLOGY DETECTION AND FOLD RECOGNITION METHODS
    9 INTEGRATIVE PROTEIN FOLD RECOGNITION BY ALIGNMENTS AND MACHINE LEARNING
    10 TASSER-BASED PROTEIN STRUCTURE PREDICTION
    11 COMPOSITE APPROACHES TO PROTEIN TERTIARY STRUCTURE PREDICTION: A CASE-STUDY BY I-TASSER
    12 HYBRID METHODS FOR PROTEIN STRUCTURE PREDICTION
    13 MODELING LOOPS IN PROTEIN STRUCTURES
    14 MODEL QUALITY ASSESSMENT USING A STATISTICAL PROGRAM THAT ADOPTS A SIDE CHAIN ENVIRONMENT VIEWPOINT
    15 MODEL QUALITY PREDICTION
    16 LIGAND-BINDING RESIDUE PREDICTION
    17 MODELING AND VALIDATION OF TRANSMEMBRANE PROTEIN STRUCTURES
    18 STRUCTURE-BASED MACHINE LEARNING MODELS FOR COMPUTATIONAL MUTAGENESIS
    19 CONFORMATIONAL SEARCH FOR THE PROTEIN NATIVE STATE
    20 MODELING MUTATIONS IN PROTEINS USING MEDUSA AND DISCRETE MOLECULE DYNAMICS
    INDEX