Servers for sequence–structure relationship analysis and prediction
We describe several algorithms and public servers that were developed to analyze and predict various features of protein structures. These servers provide information about the covalent state of cysteine (CYSREDOX), as well as about residues involved in non-covalent cross links that play an importan...
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Published in | Nucleic acids research Vol. 31; no. 13; pp. 3359 - 3363 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Oxford University Press
01.07.2003
Oxford Publishing Limited (England) |
Subjects | |
Online Access | Get full text |
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Summary: | We describe several algorithms and public servers that were developed to analyze and predict various features of protein structures. These servers provide information about the covalent state of cysteine (CYSREDOX), as well as about residues involved in non-covalent cross links that play an important role in the structural stability of proteins (SCIDE and SCPRED). We also discuss methods and servers developed to identify helical transmembrane proteins from large databases and rough genomic data, including two of the most popular transmembrane prediction methods, DAS and HMMTOP. Several biologically interesting applications of these servers are also presented. The servers are available through http://www.enzim.hu/servers.html. |
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Bibliography: | Received February 14, 2003; Revised and Accepted April 7, 2003 To whom correspondence should be addressed. Tel: +36 14669276; Fax: +36 14665465; Email: simon@enzim.hu istex:8BCB6DDB16B8B85A2063687EC8E32EDA16A37FD4 local:gkg589 ark:/67375/HXZ-0ZRCRNJS-L ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 0305-1048 1362-4962 1362-4962 |
DOI: | 10.1093/nar/gkg589 |