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
Keywords: Models and Algorithms for Biomolecules and Molecular Networks, Jie Liang, Bhaskar DasGupta, DNA, RNA, proteins, small molecules, complex biochemical system, bioinformatics, computational systems biology, biomolecular networks, Bioinformatics & Computational Biology