Structural Bioinformatics
An Algorithmic Approach
(Sprache: Englisch)
As the field of bioinformatics grows, the progression of topics in the field reflects separate concerns for sequence data and structure data. Structural Bioinformatics: An Algorithmic Approach presents key algorithms-some developed within the artificial...
Leider schon ausverkauft
versandkostenfrei
Buch (Gebunden)
30.30 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
Produktdetails
Produktinformationen zu „Structural Bioinformatics “
As the field of bioinformatics grows, the progression of topics in the field reflects separate concerns for sequence data and structure data. Structural Bioinformatics: An Algorithmic Approach presents key algorithms-some developed within the artificial intelligence community-and their applications to problems in structural biology and drug discovery, in particular, to structure alignment, comparison, classification, conformation, flexibility, and drug docking with proteins. Chapters are organized so that material stresses either algorithms or biology but not both simultaneously. Requiring only an introductory background, this text is suitable for students or as a professional industry reference.
Klappentext zu „Structural Bioinformatics “
The Beauty of Protein Structures and the Mathematics behind Structural Bioinformatics
Providing 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 Biology
Following 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 Science
Connecting 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).
Inhaltsverzeichnis zu „Structural Bioinformatics “
Preface. The Study of Structural Bioinformatics. Introduction to Macromolecular Structure. Data Sources, Formats, and Applications. Dynamic Programming. RNA Secondary Structure Prediction. Protein Sequence Alignment. Protein Geometry. Coordinate Transformations. Structure Comparison, Alignment, and Superposition. Machine Learning. Overview of the Appendices. Index.
Autoren-Porträt von Forbes J. Burkowski
University of Waterloo, Ontario, Canada
Bibliographische Angaben
- Autor: Forbes J. Burkowski
- 2008, 442 Seiten, 24 farbige Abbildungen, 124 Schwarz-Weiß-Abbildungen, Maße: 15,7 x 23,6 cm, Gebunden, Englisch
- Verlag: CRC Press
- ISBN-10: 1584886838
- ISBN-13: 9781584886839
Sprache:
Englisch
Kommentar zu "Structural Bioinformatics"
0 Gebrauchte Artikel zu „Structural Bioinformatics“
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "Structural Bioinformatics".
Kommentar verfassen