Chemical Theory and Multiscale Simulation in Biomolecules: From Principles to Case Studies helps readers understand what simulation is, what information modeling of biomolecules can provide, and how to compare this information with experiments. Beginning with an introduction to computational theory for modeling, the book goes on to describe how to control the conditions of modeling systems and possible strategies for time-cost savings in computation. Part Two further outlines key methods, with step-by-step guidance supporting readers in studying and practicing simulation processes. Part Three then shows how these theories are controlled and applied in practice, through examples and case studies on varied applications.

This book is a practical guide for new learners, supporting them in learning and applying molecular modeling in practice, whilst also providing more experienced readers with the knowledge needed to gain a deep understanding of the theoretical background behind key methods.

Presents computational theory alongside case studies to help readers understand the use of simulation in practice
Includes extensive examples of different types of simulation methods and approaches to result analysis
Provides an overview of the current academic frontier and research challenges, encouraging creativity and directing attention to current problems

About the Author

Since obtaining a Ph.D. from the Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Guohui Li has worked in the Department of chemistry, University of Mexico, University of Wisconsin Madison, Harvard Medical School and Biogen idea Inc., returning to China in 2009. At present, he has published more than 120 papers in the world's top academic journals, participated in the compilation of two books, and has been invited to give reports at international conferences and served as co chairman for many. His research is devoted to the theory and calculation of biological macromolecular systems.

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