Title
Protein structure comparison: Algorithms and applications
Abstract
A protein is a complex molecule for which a simple linear structure, given by the sequence of its aminoacids, determines a unique, often very beautiful, three dimensional shape. Such shape (3D structure) is perhaps the most important of all protein's features, since it determines completely how the protein func-tions and interacts with other molecules. Most biological mechanisms at the protein level are based on shape-complementarity, so that proteins present particular concavities and convexities that allow them to bind to each other and form complex structures, such as skin, hair and tendon. For this reason, for instance, the drug design problem consists primarily in the discovery of ad hoc peptides whose 3D shape allows them to "dock" onto some specific proteins and enzymes, to inhibit or enhance their function. The analysis and development of models, algorithms and software tools based on 3D structures are heceforth very important fields of modern Struc-tural Genomics and Proteomics. In the past few years, many tools have emerged which allow, among other things, the comparison and clustering of 3D structures. In this survey we cannot possibly recollect all of them, and even if we tried, our work would soon be incomplete, as the field is dynamically changing, with new tools and databases being introduced constantly. At the heart of all of them, there is the Brookhaven Protein Data Bank, the largest world's repository of 3D protein structures. Two typical problems related with protein structure are Fold Prediction and Fold Comparison. The former problem consists in trying to determine the 3D structure of a protein from its aminoacid sequence alone. It is a problem of paramount importance for its many implications to, e. g., medicine, genetic engineering, protein classification and evolutionary studies. We will not discuss
Year
DOI
Venue
2003
10.1007/978-3-540-44827-3_1
Lecture Notes in Computer Science
Keywords
Field
DocType
enzyme,three dimensional,drug design,complex structure,protein structure,genetic engineering,protein data bank
DOCK,Protein structure prediction,Structural alignment,Crystallography,Biology,Protein structure comparison,Threading (protein sequence),Linear complex structure,Computational biology
Conference
Volume
ISSN
Citations 
2666
0302-9743
16
PageRank 
References 
Authors
0.96
13
2
Name
Order
Citations
PageRank
Giuseppe Lancia196999.70
Sorin Istrail21415170.40