Numerical Computer Methods, Part B

Overview

The contributions in this volume emphasize numerical analysis of experimental data and analytical biochemistry, with examples taken from biochemistry. They serve to inform biomedical researchers of the modern data analysis methods that have developed concmitantly with computer hardware.

Audience: Biochemists, biophysicists, physical chemists, molecular biologists, cell biologists, and endocrinologists.

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Overview

The contributions in this volume emphasize numerical analysis of experimental data and analytical biochemistry, with examples taken from biochemistry. They serve to inform biomedical researchers of the modern data analysis methods that have developed concmitantly with computer hardware.

Audience: Biochemists, biophysicists, physical chemists, molecular biologists, cell biologists, and endocrinologists.

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Editorial Reviews

From the Publisher
Praise for the Series
"The Methods in Enzymology series represents the gold-standard."
—NEUROSCIENCE
"Incomparably useful."
—ANALYTICAL BIOCHEMISTRY
"It is a true 'methods' series, including almost every detail from basic theory to sources of equipment and reagents, with timely documentation provided on each page."
—BIO/TECHNOLOGY
"The series has been following the growing, changing and creation of new areas of science. It should be on the shelves of all libraries in the world as a whole collection."
—CHEMISTRY IN INDUSTRY
"The appearance of another volume in that excellent series, Methods in Enzymology, is always a cause for appreciation for those who wish to successfully carry out a particular technique or prepare an enzyme or metabolic intermediate without the tiresome prospect of searching through unfamiliar literature and perhaps selecting an unproven method which is not easily reproduced."
—AMERICAN SOCIETY OF MICROBIOLOGY NEWS
"If we had some way to find the work most often consulted in the laboratory, it could well be the multi-volume series Methods in Enzymology...a great work."
—ENZYMOLOGIA
"A series that has established itself as a definitive reference for biochemists."
—JOURNAL OF CHROMATOGRAPHY
Booknews
Since the appearance of the first volume on Numerical Computer Methods (Methods in Enzymology, Vol. 210, 1992), there have been substantial enhancements in computer speed, memory size, and disk space, and there have been parallel improvements in the numerical methodologies that can be applied to biological systems. Procedures that previously required the power of a mainframe computer are now commonly run on personal computers and workstations. This volume reviews some of these new techniques. Among the topics in 32 chapters: use of least-squares techniques in biochemistry; artifacts of Fourier series analysis; the mathematics of biological oscillators; and applying bifurcation theory to enzyme kinetics. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9780121821418
  • Publisher: Elsevier Science
  • Publication date: 10/3/1994
  • Series: Methods in Enzymology Series
  • Edition number: 1
  • Pages: 857

Table of Contents

M.L. Johnson, Use of Least-Squares Techniques in Biochemistry.
D.G. Watts, Parameter Estimates from Nonlinear Models.
R.D. Abbott and H.P. Gutgesell, Effects of Heteroscedasticity and Skewness on Prediction in Regression: Modeling Growth of the Human Heart.
M.L. Johnson and M. Lampl, Artifacts of Fourier Series Analysis.
S.M. Pincus, Quantification of Evolution from Order to Randomness in Practical Time Series Analysis.
M. Straume, Sequential versus Simultaneous Analysis of Data: Differences in Reliability of Derived Quantitative Conclusions.
M. Straume, J.D. Veldhuis, and M.L. Johnson, Model-Independent Quantification of Measurement Error: Empirical Estimation of Discrete Variance Function Profiles Based on Standard Curves.
L.-J. Hwang, Impact of Variance Function Estimation in Regression and Calibration.
E.N. Brown and C.H. Schmid, Application of the Kalman Filter to Computational Problems in Statistics.
R.I. Shrager, Modeling Chemical Reactions: Jacobian Paradigm and Related Issues.
G.B. Ermentrout, The Mathematics of Biological Oscillators.
J. Kasba and J.R. Lakowicz, Diffusion-Modulated Energy Transfer and Quenching: Analysis by Numerical Integration of Diffusion Equation in Laplace Space.
J.-C. Brochon, Maximum Entropy Method of Data Analysis in Time-Resolved Spectroscopy.
C. Frieden, Analysis of Kinetic Data: Practical Applications of Computer Simulation and Fitting Programs.
D.J. OShannessy, M. Brigham-Burke, K.K. Soneson, P. Hensley, and I. Brooks, Determination of Rate and Equilibrium Binding Constants for Macromolecular Interactions by Surface Plasmon Resonance.
J.D. Veldhuis, L.M. Faunt, and M.L. Johnson, Analysis of Nonequilibrium Dynamics of Bound, Free, and Total Plasma Ligand Concentrations over Time Following Nonlinear Secretory Inputs: Kinetics of Two or More Hormones Pulsed into Compartments Containing Multiple Variable-Affinity Binding Proteins.
J.D. Veldhuis and M.L. Johnson, Testing Pulse Detection Algorithms with Simulations of Episodically Pulsatile Substrate, Metabolite, or Hormone Release.
J.W. Shriver and S. Edmondson, Error Analysis of Macromolecular Structures Determined with Nuclear MagneticResonance Data.
C.B. Post, Characterization of Enzyme-Complex Formation by Analysis of Nuclear Magnetic Resonance Line Shapes.
C.A. Bush, Computer Simulations of Nuclear Overhauser Effect Spectra of Complex Oligosaccharides.
I. Brooks, D.G.Watts, K.K. Soneson, and P. Hensley, Determining Confidence Intervals for Parameters Derived from Analysis of Equilibrium Analytical Ultracentrifugation Data.
W.F. Stafford, III, Boundary Analysis in Sedimentation Velocity Experiments.
E. Freire, Statistical Thermodynamic Analysis of Differential Scanning Calorimetry Data: Structural Deconvolution of Heat Capacity Function of Proteins.
M. Straume, Analysis of Two-Dimensional Differential Scanning Calorimetry Data: Elucidation of Complex Biomolecular Energetics.
I.P. Sugar, R.L. Biltonen, and N. Mitchard, Monte Carlo Simulations of Membranes: Phase Transition of Small Unilamellar Dipalmitoylphosphatidylcholine Vesicles.
J.J. Correia and J.B. Chaires, Analysis of Drug-DNA Binding Isotherms: A Monte Carlo Approach.
G.D. Ramsay and M.R. Eftink, Analysis of Multidimensional Spectroscopic Data to Monitor Unfolding of Proteins.
B. Garcia-Moreno, Estimating Binding Constants for Site-Specific Interactions between Monovalent Ions and Proteins.
J.A. Schetz, Pattern Recognition Metric for Comparison of Protein Structures Based on Amino Acid Sequences.
H. Szmacinski, J.R. Lakowicz, and M.L. Johnson, Fluorescence Lifetime Imaging Microscopy: Homodyne Technique Using High-Speed Gated Image Intensifier.
E.M. Sevick-Muraca, Computations of Time-Dependent Photon Migration for Biomedical Optical Imaging.
C.G. Hocker, Applying Bifurcation Theory to Enzyme Kinetics.
Author Index.
Subject Index.

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