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Algorithms in Structural Molecular Biology - Donald, Bruce R.

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        Présentation Algorithms In Structural Molecular Biology Format Broché

         - Livre

        Livre - Donald, Bruce R. - 01/08/2023 - Broché - Langue : Anglais

        . .

      • Auteur(s) : Donald, Bruce R.
      • Editeur : Mit Press
      • Langue : Anglais
      • Parution : 01/08/2023
      • Format : Moyen, de 350g à 1kg
      • Nombre de pages : 498.0
      • Expédition : 454
      • ISBN : 0262548798



      • Résumé :
        Preface xxiii
        Acknowledgments xxxi
        1 Introduction to Protein Structure and NMR 1
        2 Basic Principles of NMR 7
        3 Proteins and NMR Structural Biology 15
        4 MBM, SVD, PCA, and RDCs 23
        5 Principal Components Analysis, Residual Dipolar Couplings, and Their Relationship in NMR Structural Biology 27
        6 Orientational Structures of Native and Denatured Proteins Using RDCs 53
        7 Solution Structures of Native and Denatured Proteins Using RDCs 53
        8 JIGSAW and NMR 59
        9 Peptide Design 67
        10 Protein Interface and Active Site Redesign 77
        11 Computational Protein Design 87
        12 Nonribosomal Code and K* Algorithms for Ensemble-Based Protein Design 97
        13 RDCs in NMR Structural Biology 115
        14 Nuclear Vector Replacement 119
        15-18 Short Course: Automated NMR Assignment and Protein Structure Determination Using Sparse Residual Dipolar Couplings 127
        19 Proteomic Disease Classification Algorithm 187
        20 Protein Flexibility: Introduction to Inverse Kinematics and the Loop Closure Problem 191
        21 Normal Mode Analysis (NMA) and Rigidity Theory 197
        22 ROCK and FRODA for Protein Flexibility 205
        23 Applications of NMA to Protein-Protein and Ligand-Protein Binding 213
        24 Modeling Equilibrium Fluctuations in Proteins 219
        25 Generalized Belief Propagation, Free Energy Approximations, and Protein Design 227
        26 Ligand Configurational Entropy 245
        27 Carrier Protein Structure and Recognition in Peptide Biosynthesis 249
        28 Kinetic Studies of the Initial Module PheATE of Gramicidin S Synthetase 253
        29 Protein-Ligand NOE Matching 259
        30 Side-Chain and Backbone Flexibility in Protein Core Design 265
        31 Distance Geometry 273
        32 Distance Geometry: NP-Hard, NP-Hard to Approximate 279
        33 A Topology-Constrained Network Algorithm for NOESY Data Interpretation 285
        34 MARS: An Algorithm for Backbone Resonance Assignment 293
        35 Errors in Structure Determination by NMR Spectroscopy 301
        36 SemiDefinite Programming and Distance Geometry with Orientation Constraints 307
        37 Graph Cuts for Energy Minimization and Assignment Problems 315
        38 Classifying the Power of Graph Cuts for Energy Minimization 323
        39 Protein Unfolding by Using Residual Dipolar Couplings 333
        40 Structure-Based Protein-Ligand Binding 341
        41 Flexible Ligand-Protein Docking 345
        42 Analyzing Protein Structures Using and Ensemble Representation 351
        43 NMR Resonance Assignment Assisted by Mass Spectrometry 355
        44 Autolink: An Algorithm for Automated NMR Resonance Assignment 363
        45 CS-Rosetta: Protein Structure Generalization from NMR Chemical Shift Data 371
        46 Enzyme Redesign by SVM 377
        47 Cross-Rotation Analysis Algorithm 383
        48 Molecular Replacement and NCS in X-ray Crystallography 387
        49 Optimization of Surface Charge-Charge Interactions 393
        50 Computational Topology and Protein Structure 399
        Index 415...

        Biographie:
        X-ray crystallography...

        Sommaire:
        An overview of algorithms important to computational structural biology that addresses such topics as NMR and design and analysis of proteins.Using the tools of information technology to understand the molecular machinery of the cell offers both challenges and opportunities to computational scientists. Over the past decade, novel algorithms have been developed both for analyzing biological data and for synthetic biology problems such as protein engineering. This book explains the algorithmic foundations and computational approaches underlying areas of structural biology including NMR (nuclear magnetic resonance)...

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