Numerical Computer Methods, Part D
posted in Enzymology |The speed of laboratory computers doubles every year or two. As a consequence, complex and time-consuming data analysis methods, that were prohibitively slow a few years ago, can now be routinely employed. Examples of such methods within this volume include wavelets, transfer functions, inverse convolutions, robust fitting, moment analysis, maximum-entropy, and singular value decomposition. There are also many new and exciting approaches for modeling and prediction of biologically relevant molecules such as proteins, lipid bilayers, and ion channels.
There is also an interesting trend in the educational background of new biomedical researchers over the last few years. For example, three of the authors in this volume are Ph.D. mathematicians who have faculty appointments in the School of Medicine at the University of Virginia. The combination of faster computers and more quantitatively oriented biomedical researchers has yielded new and more precise methods for the analysis of biomedical data. These better analyses have enhanced the conclusions that can be drawn from biomedical data and they have changed the way that the experiments are designed and performed. This is our fourth ‘‘Numerical Computer Methods’’ volume for Methods in Enzymology. The aim of volumes 210, 240, 321, and the present volume is to inform biomedical researchers about some of these recent applications of modern data analysis and simulation methods as applied to biomedical research.
Authors: Ludwig Brand and Michael L. Johnson
Table of Contents
- Editors-In-Chief (Page ii)
- Contributors to Volume 383 (pp.vii-ix )
- Preface (Page xi)
- Methods In Enzymology (pp.xiii-xxxiv )
- Prediction of Protein Structure (pp1-27)
Robert H. Kretsinger , Roger E. Ison and Sven Hovmoller - Modeling and Studying Proteins with Molecular Dynamics (pp28-47)
Robert Schleif - Ab Initio Protein Folding Using LINUS (pp48-66)
Rajgopal Srinivasan , Patrick J. Fleming and George D. Rose - Protein Structure Prediction Using Rosetta (pp66-93)
Carol A. Rohl , Charlie E. M. Strauss , Kira M. S. Misura and David Baker - Poisson–Boltzmann Methods for Biomolecular Electrostatics (pp94-118)
Nathan A. Baker - Atomic Simulations of Protein Folding, Using the Replica Exchange Algorithm (pp119-149)
Hugh Nymeyer , S. Gnanakaran and Angel E. Garcia - DNA Microarray Time Series Analysis: Automated Statistical Assessment of Circadian Rhythms in Gene Expression Patterning (pp149-166)
Martin Straume - Molecular Simulations of Diffusion and Association in Multimacromolecular Systems (pp166-198)
Adrian H. Elcock - Modeling Lipid–Sterol Bilayers: Applications to Structural Evolution, Lateral Diffusion, and Rafts (pp198-229)
Martin J. Zuckermann , John H. Ipsen , Ling Miao , Ole G. Mouritsen , Morten Nielsen , James Polson , Jenifer Thewalt , Ilpo Vattulainen and Hong Zhu - Idealization and Simulation of Single Ion Channel Data (pp229-244)
Antonius M. J. VanDongen - Statistical Error in Isothermal Titration Calorimetry (pp245-282)
Joel Tellinghuisen - Analysis of Circular Dichroism Data (pp282-317)
Norma J. Greenfield - Computation and Analysis of Protein Circular Dichroism Spectra (pp318-351)
Narasimha Sreerama and Robert W. Woody - Model Comparison Methods (pp351-366)
Jay I. Myung and Mark A. Pitt - Practical Robust Fit of Enzyme Inhibition Data (pp366-381)
Petr Kuzmi , Craig Hill and James W. Janc - Measuring Period of Human Biological Clock: Infill Asymptotic Analysis of Harmonic Regression Parameter Estimates (pp382-405)
Emery N. Brown , Victor Solo , Yong Choe and Zhenhua Zhang - Bayesian Methods to Improve Sample Size Approximations (pp406-427)
Christopher H. Schmid , Joseph C. Cappelleri and Joseph Lau - Distribution Functions from Moments and the Maximum-Entropy Method (pp427-465)
Douglas Poland
- Author Index (pp467-483 )
- Subject Index (pp485-491)