Burkowski Computational and Visualization Techniques for Structural Bioinformatics using Chimera

Erscheinungsjahr 2014
ISBN: 978-1-4398-3662-0
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 461 Seiten

Reihe: Chapman & Hall/CRC Mathematical & Computational Biology

This book emphasizes computer programs that analyze protein structural data with program output generating data files and visual feedback in the form of a molecular display. The theoretical part of the text considers both the mathematical models related to molecular structure and the computational strategies that work with these models to derive results. The practical part of the text presents UCSF Chimera as a "workbench" that provides a Python programming environment and the ability to see program output in the molecular display. The accompanying CD-ROM includes Python code, color figures, and session files for Chimera.

Zielgruppe

Researchers and students in bioinformatics; users of Chimera; researchers in physics, biomedical engineering, life sciences, and chemistry interested in proteins.

Autoren/Hrsg.

Burkowski, Forbes J.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik

Inhaltsverzeichnis

Introduction. Visualization of Macromolecular Structure with Chimera. Extracting Molecular Data with Chimera. Algorithms Dealing with Interatomic Distance. Algorithms Dealing with Bond Angles. Coordinate Transformations. Protein Sequence Alignment. Protein Structure Overlap. Distance Geometry. Protein Structure Alignment. Surface Constructions. Drug Design. Crystal Structure Prediction. Appendix A: Linear Algebra Review. Appendix B: Optimization with Constraints. Appendix C: An Overview of Python Programming.

Über Autor(innen)

Forbes Burkowski is a professor of computer science at the University of Waterloo in Ontario, Canada.