Data Analysis in Biochemistry and Biophysics

Data Analysis in Biochemistry and Biophysics
Author: Magar Mager
Publisher: Elsevier
Total Pages: 516
Release: 2012-12-02
Genre: Science
ISBN: 0323147380

Data Analysis in Biochemistry and Biophysics describes the techniques how to derive the most amount of quantitative and statistical information from data gathered in enzyme kinetics, protein-ligand equilibria, optical rotatory dispersion, chemical relaxation methods. This book focuses on the determination and analysis of parameters in different models that are used in biochemistry, biophysics, and molecular biology. The Michaelis-Menten equation can explain the process to obtain the maximum amount of information by determining the parameters of the model. This text also explains the fundamentals present in hypothesis testing, and the equation that represents the statistical aspects of a linear model occurring frequently in this field of testing. This book also analyzes the ultraviolet spectra of nucleic acids, particularly, to establish the composition of melting regions of nucleic acids. The investigator can use the matrix rank analysis to determine the spectra to substantiate systems whose functions are not known. This text also explains flow techniques and relaxation methods associated with rapid reactions to determine transient kinetic parameters. This book is suitable for molecular biologists, biophysicists, physiologists, biochemists, bio- mathematicians, statisticians, computer programmers, and investigators involved in related sciences

Computer Simulation and Data Analysis in Molecular Biology and Biophysics

Computer Simulation and Data Analysis in Molecular Biology and Biophysics
Author: Victor Bloomfield
Publisher: Springer Science & Business Media
Total Pages: 325
Release: 2009-06-05
Genre: Science
ISBN: 1441900837

This book provides an introduction to two important aspects of modern bioch- istry, molecular biology, and biophysics: computer simulation and data analysis. My aim is to introduce the tools that will enable students to learn and use some f- damental methods to construct quantitative models of biological mechanisms, both deterministicandwithsomeelementsofrandomness;tolearnhowconceptsofpr- ability can help to understand important features of DNA sequences; and to apply a useful set of statistical methods to analysis of experimental data. The availability of very capable but inexpensive personal computers and software makes it possible to do such work at a much higher level, but in a much easier way, than ever before. TheExecutiveSummaryofthein?uential2003reportfromtheNationalAcademy of Sciences, “BIO 2010: Transforming Undergraduate Education for Future - search Biologists” [12], begins The interplay of the recombinant DNA, instrumentation, and digital revolutions has p- foundly transformed biological research. The con?uence of these three innovations has led to important discoveries, such as the mapping of the human genome. How biologists design, perform, and analyze experiments is changing swiftly. Biological concepts and models are becoming more quantitative, and biological research has become critically dependent on concepts and methods drawn from other scienti?c disciplines. The connections between the biological sciences and the physical sciences, mathematics, and computer science are rapidly becoming deeper and more extensive.

Computational Biochemistry and Biophysics

Computational Biochemistry and Biophysics
Author: Oren M. Becker
Publisher: CRC Press
Total Pages: 534
Release: 2001-02-09
Genre: Medical
ISBN: 9780203903827

Covering theoretical methods and computational techniques in biomolecular research, this book focuses on approaches for the treatment of macromolecules, including proteins, nucleic acids, and bilayer membranes. It uses concepts in free energy calculations, conformational analysis, reaction rates, and transition pathways to calculate and interpret b

Quantitative Understanding of Biosystems

Quantitative Understanding of Biosystems
Author: Thomas M. Nordlund
Publisher: CRC Press
Total Pages: 588
Release: 2011-03-04
Genre: Science
ISBN: 9781420089721

Quantitative Understanding of Biosystems: An Introduction to Biophysics focuses on the behavior and properties of microscopic structures that underlie living systems. It clearly describes the biological physics of macromolecules, subcellular structures, and whole cells, including interactions with light. Providing broad coverage of physics, chemistry, biology, and mathematics, this color text features: Mathematical and computational tools—graphing, calculus, simple differential equations, diagrammatic analysis, and visualization tools Randomness, variation, statistical mechanics, distributions, and spectra The biological micro- and nanoworld—structures, processes, and the physical laws Quantum effects—photosynthesis, UV damage, electron and energy transfer, and spectroscopic characterization of biological structures Through its active learning approach, the text encourages practical comprehension of the behavior of biosystems, rather than knowledge of the latest research. The author includes graph- and diagram-centered physics and mathematics, simple software, frequent checks of understanding, and a repetition of important ideas at higher levels or from different points of view. After completing this book, students will gain significant computational and project experience and become competent at quantitatively characterizing biosystems. CD-ROM Resource The accompanying CD contains multimedia learning tools, such as video clips and animations, that illustrate intrinsically dynamic processes. For students inexperienced in the application of mathematics and physical principles to naturally occurring phenomena, this multimedia component emphasizes what is most obvious about biological systems: living things move. Students can also manipulate and re-program the included Excel graphs.

Chemical Biophysics

Chemical Biophysics
Author: Daniel A. Beard
Publisher: Cambridge University Press
Total Pages:
Release: 2008-05-29
Genre: Technology & Engineering
ISBN: 1139470078

Chemical Biophysics provides an engineering-based approach to biochemical system analysis for graduate-level courses on systems biology, computational bioengineering and molecular biophysics. It is the first textbook to apply rigorous physical chemistry principles to mathematical and computational modeling of biochemical systems for an interdisciplinary audience. The book is structured to show the student the basic biophysical concepts before applying this theory to computational modeling and analysis, building up to advanced topics and research. Topics explored include the kinetics of nonequilibrium open biological systems, enzyme mediated reactions, metabolic networks, biological transport processes, large-scale biochemical networks and stochastic processes in biochemical systems. End-of-chapter exercises range from confidence-building calculations to computational simulation projects.

Statistical Physics for Biological Matter

Statistical Physics for Biological Matter
Author: Wokyung Sung
Publisher: Springer
Total Pages: 444
Release: 2018-10-19
Genre: Science
ISBN: 940241584X

This book aims to cover a broad range of topics in statistical physics, including statistical mechanics (equilibrium and non-equilibrium), soft matter and fluid physics, for applications to biological phenomena at both cellular and macromolecular levels. It is intended to be a graduate level textbook, but can also be addressed to the interested senior level undergraduate. The book is written also for those involved in research on biological systems or soft matter based on physics, particularly on statistical physics. Typical statistical physics courses cover ideal gases (classical and quantum) and interacting units of simple structures. In contrast, even simple biological fluids are solutions of macromolecules, the structures of which are very complex. The goal of this book to fill this wide gap by providing appropriate content as well as by explaining the theoretical method that typifies good modeling, namely, the method of coarse-grained descriptions that extract the most salient features emerging at mesoscopic scales. The major topics covered in this book include thermodynamics, equilibrium statistical mechanics, soft matter physics of polymers and membranes, non-equilibrium statistical physics covering stochastic processes, transport phenomena and hydrodynamics. Generic methods and theories are described with detailed derivations, followed by applications and examples in biology. The book aims to help the readers build, systematically and coherently through basic principles, their own understanding of nonspecific concepts and theoretical methods, which they may be able to apply to a broader class of biological problems.

Computational Biochemistry and Biophysics

Computational Biochemistry and Biophysics
Author: Oren M. Becker
Publisher: CRC Press
Total Pages: 525
Release: 2001-02-09
Genre: Science
ISBN: 0824741404

Covering theoretical methods and computational techniques in biomolecular research, this book focuses on approaches for the treatment of macromolecules, including proteins, nucleic acids, and bilayer membranes. It uses concepts in free energy calculations, conformational analysis, reaction rates, and transition pathways to calculate and interpret biomolecular properties gleaned from computer-generated membrane simulations. It also demonstrates comparative protein structure modeling, outlines computer-aided drug design, discusses Bayesian statistics in molecular and structural biology, and examines the RISM-SCF/MCSCF approach to chemical processes in solution.

The Analysis of Biological Data

The Analysis of Biological Data
Author: Michael C. Whitlock
Publisher: Macmillan Higher Education
Total Pages: 2074
Release: 2019-11-22
Genre: Mathematics
ISBN: 1319226299

The Analysis of Biological Data provides students with a practical foundation of statistics for biology students. Every chapter has several biological or medical examples of key concepts, and each example is prefaced by a substantial description of the biological setting. The emphasis on real and interesting examples carries into the problem sets where students have dozens of practice problems based on real data. The third edition features over 200 new examples and problems. These include new calculation practice problems, which guide the student step by step through the methods, and a greater number of examples and topics come from medical and human health research. Every chapter has been carefully edited for even greater clarity and ease of use. All the data sets, R scripts for all worked examples in the book, as well as many other teaching resources, are available to qualified instructors (see below).

Big Data Analytics in Chemoinformatics and Bioinformatics

Big Data Analytics in Chemoinformatics and Bioinformatics
Author: Subhash C. Basak
Publisher: Elsevier
Total Pages: 503
Release: 2022-12-06
Genre: Science
ISBN: 0323857140

Big Data Analytics in Chemoinformatics and Bioinformatics: With Applications to Computer-Aided Drug Design, Cancer Biology, Emerging Pathogens and Computational Toxicology provides an up-to-date presentation of big data analytics methods and their applications in diverse fields. The proper management of big data for decision-making in scientific and social issues is of paramount importance. This book gives researchers the tools they need to solve big data problems in these fields. It begins with a section on general topics that all readers will find useful and continues with specific sections covering a range of interdisciplinary applications. Here, an international team of leading experts review their respective fields and present their latest research findings, with case studies used throughout to analyze and present key information. - Brings together the current knowledge on the most important aspects of big data, including analysis using deep learning and fuzzy logic, transparency and data protection, disparate data analytics, and scalability of the big data domain - Covers many applications of big data analysis in diverse fields such as chemistry, chemoinformatics, bioinformatics, computer-assisted drug/vaccine design, characterization of emerging pathogens, and environmental protection - Highlights the considerable benefits offered by big data analytics to science, in biomedical fields and in industry