COMPUTATIONAL BIOLOGY A STATISTICAL MECHANICS PERSPECTIVE

Provides the first detailed application of statistical physics concepts to problems in computational biology
Illustrates the concepts with simple applications focused exclusively on biological systems
Focuses on the properties of biomolecules, their stability, and the structures that they form
Includes a detailed discussion of chromatin and its role in gene regulation, a topic unique among statistical mechanics books
Uses statistical mechanics models to describe the dynamics and structure of complex gene and protein networks

Quantitative methods have a particular knack for improving any field they touch. For biology, computational techniques have led to enormous strides in our understanding of biological systems, but there is stillvast territory to cover. Statistical physics especially holds great potential for elucidating the structural-functional relationships in biomolecules, as well as their static and dynamic properties.