Computational Methods for Protein Structure Prediction & Modeling V1 - Xu Xu and Liang.pdf

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Continued After Index
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Ying Xu, Dong Xu, and
Jie Liang (Eds.)
Computational Methods
for Protein Structure
Prediction and Modeling
Volume 1: Basic Characterization
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Ying Xu
Department of Biochemistry
and Molecular Biology
University of Georgia
120 Green Street
Athens, GA 30602
USA
email: xyn@bmb.uga.edu
Dong Xu
Department of Computer Science
Digital Biology Laboratory
University of Missouri–Columbia
201 Engineering Building West
Columbia, MO 65211
USA
email: xudong@missouri.edu
Jie Liang
Department of Bioengineering
Center for Bioinformatics
University of Illinois at Chicago
851 S. Morgan Street
Chicago, IL 60607
USA
email: jliang@uic.edu
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ISBN 10: 0-387-33319-3
ISBN 13: 978-0387-33319-9
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Preface
An ultimate goal of modern biology is to understand how the genetic blueprint of
cells (genotype) determines the structure, function, and behavior of a living organism
(phenotype). At the center of this scientific endeavor is characterizing the biochem-
ical and cellular roles of proteins, the working molecules of the machinery of life. A
key to understanding of functional proteins is the knowledge of their folded struc-
tures in a cell, as the structures provide the basis for studying proteins’ functions
and functional mechanisms at the molecular level.
Researchers working on structure determination have traditionally selected in-
dividual proteins due to their functional importance in a biological process or path-
way of particular interest. Major research organizations often have their own protein
X-ray crystallographic or/and nuclear magnetic resonance facilities for structure de-
termination, which have been conducted at a rate of a few to dozens of structures a
year. Realizing the widening gap between the rates of protein identification (through
DNA sequencing and identification of potential genes through bioinformatics anal-
ysis) and the determination of protein structures, a number of large scientific initia-
tives have been launched in the past few years by government funding agencies in
the United States, Europe, and Japan, with the intention to solve protein structures
en masse, an effort called structural genomics . A number of structural genomics
centers (factory-like facilities) have been established that promise to produce solved
protein structures in a similar fashion to DNA sequencing. These efforts as well as
the growth in the size of the community and the substantive increases in the ease
of structure determination, powered with a new generation of technologies such as
synchrotron radiation sources and high-resolution NMR, have accelerated the rate
of protein structure determination over the past decade. As of January 2006, the
protein structure database PDB contained
v
34,500 protein structures.
The role of structure for biological sciences and research has grown consider-
ably since the advent of systems biology and the increased emphasis on understand-
ing molecular mechanisms from basic biology to clinical medicine. Just as every
geneticist or cell biologist needed in the 1990s to obtain the sequence of the gene
whose product or function they were studying, increasingly, those biologists will
need to know the structure of the gene product for their research programs in this
century. One can anticipate that the rate of structure determination will continue to
grow. However, the large expenses and technical details of structure determination
mean that it will remain difficult to obtain experimental structures for more than a
small fraction of the proteins of interest to biologists. In contrast, DNA sequence
determination has doubled routinely in output for a couple of decades. The genome
projects have led to the production of 100 gigabytes of DNA data in Genbank, and
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