Computational structural biology has made tremendous progress over the last two decades, and this book provides a recent and broad overview of such computational methods in structural biology. It covers the impact of computational structural biology on protein structure prediction methods, macromolecular function and protein design, and key methods in drug discovery. It also addresses the computational challenges of experimental approaches in structural biology. In addition to reviewing the current state of computational structural biology, each chapter ends with a brief, visionary discussion on the future outlook, whereby the main challenges for the coming years are elucidated. Written by an international panel of expert contributors, this book can serve as a reference manual for students and practitioners alike.

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Undergraduates and master students focussed on structural bioinformatics will clearly benefit from the breadth of topics covered ... PhD students will find chapters in their area extremely helpful in getting a concise overview of the state of play of their field, references to key reviews and the challenges that lie ahead. Finally, post-docs and professors will be able to explore tangential areas of their immediate research and get a firm grasp of the larger field by having such a broad spectrum of material presented that is well written and up-to-date. --Crystallography Reviews

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