Paper Info
Title
A fast, stochastic threading algorithm for proteins.
Abstract
Motivation: Sequences for new proteins are being determined at a rapid rate, as a result of the Human Genome Project, and related genome research. The ability to predict the three-dimensional structure of proteins from sequence alone would be useful in discovering and understanding their function. Threading, or fold recognition, aims to predict the tertiary structure of a protein by aligning its amino acid sequence with a large number of structures, and finding the best fit. This approach depends on obtaining good performance from both the scoring function, which simulates the free energy for given trial alignments, and the threading algorithm, which searches for the lowest-score alignment. It appears that current scoring functions and threading algorithms need improvement. Results:This paper presents a new threading algorithm. Numerical tests demonstrate that it is more powerful than two popular approximate algorithms, and much faster than exact methods. Contact: crawfordoh@ornl.gov
Year
DOI
Venue
1999
10.1093/bioinformatics/15.1.66
BIOINFORMATICS
Field
DocType
Volume
Genome,Numerical tests,Protein folding,Protein tertiary structure,Computer science,Threading (protein sequence),Threading (manufacturing),Stochastic process,Algorithm,Bioinformatics,Protein structure
Journal
15
Issue
ISSN
Citations 
1
1367-4803
5
PageRank 
References 
Authors
1.04
2
1
Name
Order
Citations
PageRank
oakley h crawford1203.31