Structural Bioinformatics Algorithmic Approach by Burkowski Forbes (10 results)

Hardcover. Condition: Sehr gut. CRC Press (2009). gr.8°. Some figs. 6 coloured plates. XXIII, 406 p. Hardbound. (top edge slightly stained).- Mathematical and Computational Biology Series.- With exercises.

hardcover. Condition: new.

Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,850grams, ISBN:9781584886839.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Hardcover. Condition: Brand New. 1st edition. 406 pages. 9.75x6.25x1.00 inches. In Stock.

Buch. Condition: Neu. Neuware - The Beauty of Protein Structures and the Mathematics behind Structural BioinformaticsProviding the framework for a one-semester undergraduate course, Structural Bioinformatics: An Algorithmic Approach shows how to apply key algorithms to solve problems related to macromolecular structure.Helps Students Go Further in Their Study of Structural BiologyFollowing some introductory material in the first few chapters, the text solves the longest common subsequence problem using dynamic programming and explains the science models for the Nussinov and MFOLD algorithms. It then reviews sequence alignment, along with the basic mathematical calculations needed for measuring the geometric properties of macromolecules. After looking at how coordinate transformations facilitate the translation and rotation of molecules in a 3D space, the author introduces structural comparison techniques, superposition algorithms, and algorithms that compare relationships within a protein. The final chapter explores how regression and classification are becoming more useful in protein analysis and drug design.At the Crossroads of Biology, Mathematics, and Computer ScienceConnecting biology, mathematics, and computer science, this practical text presents various bioinformatics topics and problems within a scientific methodology that emphasizes nature (the source of empirical observations), science (the mathematical modeling of the natural process), and computation (the science of calculating predictions and mathematical objects based on mathematical models).…

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