|
|
 |
|
Viewing report
|
|
|
|
Structural Bioinformatics, 2nd Edition
John Wiley and Sons Ltd, April 2009, Pages: 1,035
The first edition of Structural Bioinformatics was the first major effort to show the application of the principles and basic knowledge of the larger field of bioinformatics to questions focusing on macromolecular structure, such as the prediction of protein structure and how proteins carry out cellular functions, as well as show how the application of bioinformatics to these life science issues can improve health care by accelerating drug discovery and development. Designed primarily as a reference, the first edition nevertheless saw widespread use as a textbook in graduate and undergraduate university courses dealing with the theories and associated algorithms, resources, and tools used in the analysis, prediction, and theoretical underpinnings of DNA, RNA, and proteins. The new edition contains not only thorough updates of the advances in structural bioinformatics since publication of the first edition, but also features eleven new chapters dealing with frontier areas of with high scientific impact.
Computation is now an everyday tool used by life scientists to process and make sense of an ever increasing amount of data being accumulated on living systems. These data include the 3-dimensional structures of proteins, DNA, RNA and their complexes. Structural Bioinformatics is the field of study which attempts to make sense of how these complex molecules collectively operate to control all of lifes processes. The second edition of this successful text expands on the depth and scope of the topic by bringing together many of the worlds experts to provide a view of the current state of the field suitable for advanced undergraduate students, graduate students and beyond. The book begins with a description of the principles of protein, DNA and RNA structure, the methods used to collect the data, and how the data are represented, visualized and stored. With these prerequisites the comparative analysis of structure reveals classification schemes and how they are used in studies ranging from evolution to structure prediction. The physical properties of structure are explored to understand, for example, how macromolecules move and interact with each other and with ligands, offering insights into how drug discovery is undertaken and how structure can provide the details needed to understand complex molecular interactions important in fields such as immunology and systems biology. Finally, structural genomics reveals insight into the future role of structural bioinformatics where features, including function, are systematically assigned and the structural basis of complete organisms begin to emerge.
Praise for the first edition:
'This book is a gold mine of fundamental and practical information in an area not previously well represented in book form. Biochemistry and Molecular Education ... destined to become a classic reference work for workers at all levels in structural bioinformatics....recommended with great enthusiasm for educators, researchers, and graduate students. BAMBED
'a useful and timely summary of a rapidly expanding field.' Nature Structural Biology
'...a terrific job in this timely creation of a compilation of articles that appropriately addresses this issue.' Briefings in Bioinformatics
Customers who bought this item also bought
Bioinformatics for Vaccinology
Bioinformatics - From Genomes to Therapies
Prediction of Protein Structures, Functions, and Interactions
Protein Bioinformatics: An Algorithmic Approach to Sequence and Structure Analysis
Knowledge Discovery in Bioinformatics: Techniques, Methods, and Applications
Bioinformatics Markets
Bioinformatics Algorithms: Techniques and Applications
Bioinformatics Market Potential
Bioinformatics for Geneticists: A Bioinformatics Primer for the Analysis of Genetic Data, 2nd edition
Innovations in Bioinformatics: Emerging Tools for Drug Discovery and Development
Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins, 3rd Edition
Mass Spectrometry Analysis for Protein-Protein Interactions and Dynamics
|
|
|
|
