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

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