This Second Edition provides a solid introduction to the techniques of statistical mechanics for graduate students and researchers in computational biology and biophysics, with expanded content on electrostatic interactions and network-based approaches. It is up-to-date with the current research literature and includes exercises and tasks to test comprehension. Format: Paperback / softback Length: 312 pages Publication date: 31 March 2021 Publisher: Taylor & Francis Ltd Computational biology has experienced a remarkable surge in growth over the past two decades, fueled by the groundbreaking genomic revolution that culminated in the complete sequencing of the human genome. This field has expanded its horizons to encompass computational methodologies from diverse branches of the exact sciences, including pure and applied mathematics, computer science, and theoretical physics. In this Second Edition, we offer a comprehensive introduction to statistical mechanics techniques, tailored specifically for graduate students and researchers in computational biology and biophysics.To enhance clarity, the material has been reorganized to focus on equilibrium and nonequilibrium aspects of biomolecular systems. Furthermore, the content has been extensively expanded, particularly in the treatment of electrostatic interactions between biomolecules and the application of non-equilibrium statistical mechanics to biomolecules.New network-based approaches for the study of proteins have also been introduced, providing valuable insights into the complex dynamics and interactions within these biological macromolecules.Throughout the book, all treated topics are placed within the context of the current research literature, enabling readers to easily navigate and delve into specific research fields of their interest. Accompanying the presentations are a series of exercises and tasks designed to test the reader's comprehension of the fundamental concepts developed.By presenting a comprehensive and up-to-date overview of statistical mechanics in computational biology, this Second Edition serves as a valuable resource for students and researchers seeking to advance their understanding of biomolecular systems and their applications in various scientific disciplines. Weight: 553g Dimension: 234 x 156 (mm) ISBN-13: 9780367779740 Edition number: 2 New edition
