Bayesian Methods in Structural Bioinformatics

Editors:

ISBN: 978-3-642-27224-0 (Print) 978-3-642-27225-7 (Online)

Table of contents (13 chapters)

  1. Front Matter

    Pages i-xxii

  2. Foundations

    1. Front Matter

      Pages 1-1

    2. No Access

      Book Chapter

      Pages 3-48

      An Overview of Bayesian Inference and Graphical Models

    3. No Access

      Book Chapter

      Pages 49-93

      Monte Carlo Methods for Inference in High-Dimensional Systems

  3. Energy functions for protein structure prediction

    1. Front Matter

      Pages 95-95

    2. No Access

      Book Chapter

      Pages 97-124

      On the Physical Relevance and Statistical Interpretation of Knowledge-Based Potentials

    3. No Access

      Book Chapter

      Pages 125-134

      Towards a General Probabilistic Model of Protein Structure: The Reference Ratio Method

    4. No Access

      Book Chapter

      Pages 135-155

      Inferring Knowledge Based Potentials Using Contrastive Divergence

  4. Directional statistics for biomolecular structure

    1. Front Matter

      Pages 157-157

    2. No Access

      Book Chapter

      Pages 159-178

      Statistics of Bivariate von Mises Distributions

    3. No Access

      Book Chapter

      Pages 179-188

      Statistical Modelling and Simulation Using the Fisher-Bingham Distribution

  5. Shape theory for protein structure superposition

    1. Front Matter

      Pages 189-189

    2. No Access

      Book Chapter

      Pages 191-208

      Likelihood and Empirical Bayes Superposition of Multiple Macromolecular Structures

    3. No Access

      Book Chapter

      Pages 209-230

      Bayesian Hierarchical Alignment Methods

  6. Graphical models for structure prediction

    1. Front Matter

      Pages 231-231

    2. No Access

      Book Chapter

      Pages 233-254

      Probabilistic Models of Local Biomolecular Structure and Their Applications

    3. No Access

      Book Chapter

      Pages 255-284

      Prediction of Low Energy Protein Side Chain Configurations Using Markov Random Fields

  7. Inferring structure from experimental data

    1. Front Matter

      Pages 285-285

    2. No Access

      Book Chapter

      Pages 287-311

      Inferential Structure Determination from NMR Data

    3. No Access

      Book Chapter

      Pages 313-342

      Bayesian Methods in SAXS and SANS Structure Determination

  8. Back Matter

    Pages 343-385