UID:
almahu_9947366368602882
Format:
1 online resource (527 p.)
ISBN:
1-281-01150-9
,
9786611011505
,
0-08-049721-7
Series Statement:
Methods in enzymology, v. 383
Content:
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
Note:
Description based upon print version of record.
,
Front Cover; Numerical Computer Methods; Copyright Page; Table of Contents; Contributors to Volume 383; Preface; Volumes in Series; Chapter 1. Prediction of Protein Structure; Chapter 2. Modeling and Studying Proteins with Molecular Dynamics; Chapter 3. Ab Initio Protein Folding Using LINUS; Chapter 4. Protein Structure Prediction Using Rosetta; Chapter 5. Poisson-Boltzmann Methods for Biomolecular Electrostatics; Chapter 6. Atomic Simulations of Protein Folding, Using the Replica Exchange Algorithm
,
Chapter 7. DNA Microarray Time Series Analysis: Automated Statistical Assessment of Circadian Rhythms in Gene Expression PatterningChapter 8. Molecular Simulations of Diffusion and Association in Multimacromolecular Systems; Chapter 9. Modeling Lipid-Sterol Bilayers: Applications to Structural Evolution, Lateral Diffusion, and Rafts; Chapter 10. Idealization and Simulation of Single Ion Channel Data; Chapter 11. Statistical Error in Isothermal Titration Calorimetry; Chapter 12. Analysis of Circular Dichroism Data; Chapter 13. Computation and Analysis of Protein Circular Dichroism Spectra
,
Chapter 14. Model Comparison MethodsChapter 15. Practical Robust Fit of Enzyme Inhibition Data; Chapter 16. Measuring Period of Human Biological Clock: Infill Asymptotic Analysis of Harmonic Regression Parameter Estimates; Chapter 17. Bayesian Methods to Improve Sample Size Approximations; Chapter 18. Distribution Functions from Moments and the Maximum-Entropy Method; Author Index; Subject Index
,
English
Additional Edition:
ISBN 0-12-182788-7
Language:
English
Bookmarklink