Elsevier S & T

Numerical Computer Methods, Part D

Brand, Ludwig

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Table of contents
  • Table of Contentsv
  • Contributors to Volume 383vii
  • Prefacexi
  • Volumes in Seriesxiii
  • Chapter 1. Prediction of Protein Structure1
  • Chapter 2. Modeling and Studying Proteins with Molecular Dynamics28
  • Chapter 3. Ab Initio Protein Folding Using LINUS48
  • Chapter 4. Protein Structure Prediction Using Rosetta66
  • Chapter 5. Poisson–Boltzmann Methods for Biomolecular Electrostatics94
  • Chapter 6. Atomic Simulations of Protein Folding, Using the Replica Exchange Algorithm119
  • Chapter 7. DNA Microarray Time Series Analysis: Automated Statistical Assessment of Circadian Rhythm149
  • Chapter 8. Molecular Simulations of Diffusion and Association in Multimacromolecular Systems166
  • Chapter 9. Modeling Lipid–Sterol Bilayers: Applications to Structural Evolution, Lateral Diffusion198
  • Chapter 10. Idealization and Simulation of Single Ion Channel Data229
  • Chapter 11. Statistical Error in Isothermal Titration Calorimetry245
  • Chapter 12. Analysis of Circular Dichroism Data282
  • Chapter 13. Computation and Analysis of Protein Circular Dichroism Spectra318
  • Chapter 14. Model Comparison Methods351
  • Chapter 15. Practical Robust Fit of Enzyme Inhibition Data366
  • Chapter 16. Measuring Period of Human Biological Clock: Infill Asymptotic Analysis of Harmonic Regre382
  • Chapter 17. Bayesian Methods to Improve Sample Size Approximations406
  • Chapter 18. Distribution Functions from Moments and the Maximum-Entropy Method427
  • Author Index467
  • Subject Index485
Book details
  • Vendor Elsevier S & T
  • SKU 9780121827885
  • ISBN-13 9780080497211
  • Author Brand, Ludwig
  • Category Science
  • Subject Biochemistry

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Description eBook delivery & access Reviews
The aim of this volume is to brief researchers of the importance of data analysis in enzymology, and of the modern methods that have developed concomitantly with computer hardware. It is also to validate researchers' computer programs with real and synthetic data to ascertain that the results produced are what they expected.

Selected Contents: Prediction of protein structure; modeling and studying proteins with molecular dynamics; statistical error in isothermal titration calorimetry; analysis of circular dichroism data; model comparison methods