Description
Book Synopsis: Using the tools of information technology to understand the molecular machinery of the cell offers both challenges and opportunities to computational scientists. Over the past decade, novel algorithms have been developed both for analyzing biological data and for synthetic biology problems such as protein engineering. This book explains the algorithmic foundations and computational approaches underlying areas of structural biology including NMR (nuclear magnetic resonance); X-ray crystallography; and the design and analysis of proteins, peptides, and small molecules.
Each chapter offers a concise overview of important concepts, focusing on a key topic in the field. Four chapters offer a short course in algorithmic and computational issues related to NMR structural biology, giving the reader a useful toolkit with which to approach the fascinating yet thorny computational problems in this area. A recurrent theme is understanding the interplay between biophysical experiments and computational algorithms.
The text emphasizes the mathematical foundations of structural biology while maintaining a balance between algorithms and a nuanced understanding of experimental data. Three emerging areas, particularly fertile ground for research students, are highlighted: NMR methodology, design of proteins and other molecules, and the modeling of protein flexibility. The next generation of computational structural biologists will need training in geometric algorithms, provably good approximation algorithms, scientific computation, and an array of techniques for handling noise and uncertainty in combinatorial geometry and computational biophysics. This book is an essential guide for young scientists on their way to research success in this exciting field.
Details
Are you ready to unlock the secrets of the molecular machinery of the cell? Introducing "Algorithms in Structural Molecular Biology (Computational Molecular Biology)" - the ultimate guide to understanding and analyzing biological data using cutting-edge computational algorithms. With this book, you'll gain a comprehensive overview of NMR, X-ray crystallography, protein engineering, and more, all while developing the skills to tackle complex computational problems in structural biology.
This book is the perfect toolkit for any computational scientist looking to make a significant impact in the field. We delve into the mathematical foundations of structural biology, providing you with a solid understanding of the interplay between biophysical experiments and computational algorithms. With a focus on important concepts, you'll gain the expertise needed to design and analyze proteins, peptides, and small molecules. Plus, we'll explore emerging areas such as NMR methodology, protein flexibility modeling, and molecule design, giving you a head start in the latest research.
What sets this book apart is its pragmatic approach. We equip you with the skills required for success, including training in geometric algorithms, provably good approximation algorithms, scientific computation, and techniques to handle noise and uncertainty in computational biophysics. Our concise chapters make complex topics accessible and actionable, ensuring that you can apply your newfound knowledge immediately.
Don't miss out on your chance to become a trailblazer in computational structural biology. Get your hands on "Algorithms in Structural Molecular Biology (Computational Molecular Biology)" today and take the first step towards research success. Click here to order now.
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