Structural Bioinformatics

Philip E. Bourne - Helge Weissig (eds.)

ISBN 10: 0471202002 / ISBN 13: 9780471202004

Verlag: Wiley- Liss, USA, 2003

Beschreibung

Ejemplar nuevo. New.

Bestandsnummer des Verkäufers 31637

Bibliografische Details

• Titel: Structural Bioinformatics
• Verlag: Wiley- Liss, USA
• Erscheinungsjahr: 2003
• Sprache: Spanisch
• ISBN-10: 0471202002
• ISBN-13: 9780471202004
• Einband: Rústica
• Zustand: Nuevo

Über diesen Titel

Inhaltsangabe

From the Foreword: "[A] must read for all of us committed to understanding the interplay of structure and function...[T]he individual chapters outline the suite of major basic life science questions, such as the status of efforts to predict protein structure and how proteins carry out cellular functions, and also the applied life science questions such as how structural bioinformatics can improve health care through accelerating drug discovery." This book provides a basic understanding of the theories, associated algorithms, resources, and tools used in structural bioinformatics. The reader emerges with the ability to make effective use of protein, DNA, RNA, carbohydrate, and complex structures to better understand biological function. Moreover, it draws a clear connection between structural studies and the rational design of new therapies.

Über die Autorin bzw. den Autor

PHILIP E. BOURNE, PhD, is a professor in the Department of Pharmacology at the University of California, San Diego, and Director of Integrated Biosciences at the San Diego Supercomputer Center. He is also President of the International Society for Computational Biology (ISCB). Dr. Bourne is the author of over 100 peer--reviewed scientific papers and three previous books. HELGE WEISSIG, PhD, is a Project Leader in Bioinformatics at ActivX Biosciences, a proteomics company, and also co--coordinates the Bioinformatics Certificate program for UCSD Extension. After doing his postdoctoral work with Professor Bourne at the San Diego Supercomputer Center, he became the Technical Project Manager for the RCSB Protein Data Bank (PDB) at UCSD.