Document Detail


BTEVAL: a server for evaluation of beta-turn prediction methods.
MedLine Citation:
PMID:  15290767     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This paper describes a web server BTEVAL, developed for assessing the performance of newly developed beta-turn prediction method and it's ranking with respect to other existing beta-turn prediction methods. Evaluation of a method can be carried out on a single protein or a number of proteins. It consists of clean data set of 426 non-homologous proteins with seven subsets of these proteins. Users can evaluate their method on any subset or a complete set of data. The method is assessed at amino acid level and performance is evaluated in terms of Qtotal, Qpredicted, Qobserved and MCC measures. The server also compares the performance of the method with other existing beta-turn prediction methods such as Chou-Fasman algorithm, Thornton's algorithm, GORBTURN, 1-4 and 2-3 Correlation model, Sequence coupled model and BTPRED. The server is accessible from http://imtech.res.in/raghava/bteval/
Authors:
Harpreet Kaur; G P S Raghava
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Publication Detail:
Type:  Comparative Study; Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of bioinformatics and computational biology     Volume:  1     ISSN:  0219-7200     ISO Abbreviation:  J Bioinform Comput Biol     Publication Date:  2003 Oct 
Date Detail:
Created Date:  2004-08-03     Completed Date:  2004-09-17     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  101187344     Medline TA:  J Bioinform Comput Biol     Country:  England    
Other Details:
Languages:  eng     Pagination:  495-504     Citation Subset:  IM    
Affiliation:
Bioinformatics Center, Institute of Microbial Technology, Sector 39A, Chandigarh, India. raghava@imtech.res.in
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Amino Acid Sequence
Computational Biology
Computer Simulation
Databases, Protein
Models, Molecular
Molecular Sequence Data
Protein Structure, Secondary*
Proteins / chemistry*,  genetics
Software*
Chemical
Reg. No./Substance:
0/Proteins

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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