By providing expositions to modeling principles, theories, computational solutions, and open problems, this reference presents a full scope on relevant biological phenomena, modeling frameworks, technical challenges, and algorithms.
Up-to-date developments of structures of biomolecules, systems biology, advanced models, and algorithms
Sampling techniques for estimating evolutionary rates and generating molecular structures
Accurate computation of probability landscape of stochastic networks, solving discrete chemical master equations
End-of-chapter exercises