Fundamentals and Techniques of Biophysics and Molecular Biology textbook has the primary goal to teach students about theoretical principles and applications of the key biophysical and molecular methods used in biochemistry and molecular biology. A substantial theoretical basis has been covered to understand key experimental techniques such as Chromatography, Electrophoresis, Spectroscopy, Mass spectrometry, Centrifugation, Microscopy, Flow cytometry, Chromatin immunoprecipitation, Immunotechniques, FRET and FRAP, Polymerase chain reaction, Phage display, Yeast two-hybrid assay, DNA sequencing, Biosensors, CRISPR/Cas systems so that students can make appropriate choices and efficient use of techniques. The most significant feature of this book is its clear, up-to-date and accurate explanations of mechanisms, rather than the mere description of facts and events. This book is published by Pathfinder Publication, New Delhi, India.

This book presents the fundamentals of molecular biophysics, and highlights the connection between molecules and biological phenomena, making it an important text across a variety of science disciplines. The topics covered in the book include: Phase transitions that occur in biosystems (protein crystallisation, globule-coil transition etc) Liquid crystallinity as an example of the delicate range of partially ordered phases found with biological molecules How molecules move and propel themselves at the cellular level The general features of self-assembly with examples from proteins The phase behaviour of DNA The physical toolbox presented within this text will form a basis for students to enter into a wide range of pure and applied bioengineering fields in medical, food and pharmaceutical areas.

In the first volume, Fundamental Concepts in Biophysics, the authors lay down a foundation for biophysics study. Rajiv Singh opens the book by pointing to the central importance of “Mathematical Methods in Biophysics”. William Fink follows with a discussion on “Quantum Mechanics Basic to Biophysical Methods”. Together, these two chapters establish some of the principles of mathematical physics underlying many biophysics techniques. Because computer modeling forms an intricate part of biophysics research, Subhadip Raychaudhuri and colleagues introduce the use of computer modeling in “Computational Modeling of Receptor–Ligand Binding and Cellular Signaling Processes”. Yin Yeh and coworkers bring to the reader’s attention the physical basis underlying the common use of fluorescence spectroscopy in biomedical research in their chapter “Fluorescence Spectroscopy”. Electrophysiologists have also applied biophysics techniques in the study of membrane proteins, and Tsung-Yu Chen et al. explore stochastic processes of ion transport in their “Electrophysiological Measurements of Membrane Proteins”. Michael Saxton takes up a key biophysics question about particle distribution and behavior in systems with spatial or temporal inhomogeneity in his chapter “Single–Particle Tracking”. Finally, in “NMR Measurement of Biomolecule Diffusion”, Thomas Jue explains how magnetic resonance techniques can map biomolecule diffusion in the cell to a theory of respiratory control. This book thus launches the Handbook of Modern Biophysics series and sets up for the reader some of the fundamental concepts underpinning the biophysics issues to be presented in future volumes.

Bringing this best-selling textbook right up to date, the new edition uniquely integrates the theories and methods that drive the fields of biology, biotechnology and medicine, comprehensively covering both the techniques students will encounter in lab classes and those that underpin current key advances and discoveries. The contents have been updated to include both traditional and cutting-edge techniques most commonly used in current life science research. Emphasis is placed on understanding the theory behind the techniques, as well as analysis of the resulting data. New chapters cover proteomics, genomics, metabolomics, bioinformatics, as well as data analysis and visualisation. Using accessible language to describe concepts and methods, and with a wealth of new in-text worked examples to challenge students' understanding, this textbook provides an essential guide to the key techniques used in current bioscience research.

Uniquely integrates the theory and practice of key experimental techniques for bioscience undergraduates. Now includes drug discovery and clinical biochemistry.

Biophysics is an intradisciplinary as well as an emerging subject in the field of Biological Science in the recent years.It is a hybrid science which deals with Physics ,Chemistry and Biology.

"Provides a physical interpretation of the data obtained in macromolecular transport phenomena in a given system and also addresses some important issues and concepts related to biopolymers such as proteins and nucleic acids"--

An overview of algorithms important to computational structural biology that addresses such topics as NMR and design and analysis of proteins.Using the tools of information technology to understand the molecular machinery of the cell offers both challenges and opportunities to computational scientists. Over the past decade, novel algorithms have been developed both for analyzing biological data and for synthetic biology problems such as protein engineering. This book explains the algorithmic foundations and computational approaches underlying areas of structural biology including NMR (nuclear magnetic resonance); X-ray crystallography; and the design and analysis of proteins, peptides, and small molecules. Each chapter offers a concise overview of important concepts, focusing on a key topic in the field. Four chapters offer a short course in algorithmic and computational issues related to NMR structural biology, giving the reader a useful toolkit with which to approach the fascinating yet thorny computational problems in this area. A recurrent theme is understanding the interplay between biophysical experiments and computational algorithms. The text emphasizes the mathematical foundations of structural biology while maintaining a balance between algorithms and a nuanced understanding of experimental data. Three emerging areas, particularly fertile ground for research students, are highlighted: NMR methodology, design of proteins and other molecules, and the modeling of protein flexibility. The next generation of computational structural biologists will need training in geometric algorithms, provably good approximation algorithms, scientific computation, and an array of techniques for handling noise and uncertainty in combinatorial geometry and computational biophysics. This book is an essential guide for young scientists on their way to research success in this exciting field.

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