BetaTPred: prediction of β-TURNS in a protein using statistical algorithms | Zendy

Harpreet Kaur | Zendy; Gajendra P. S. Raghava | Zendy

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BetaTPred: prediction of β-TURNS in a protein using statistical algorithms

Author(s) -

Harpreet Kaur,

Gajendra P. S. Raghava

Publication year - 2002

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/18.3.498

Subject(s) - web server , computer science , beta (programming language) , sequence (biology) , point (geometry) , statistical analysis , protein structure prediction , algorithm , order (exchange) , type (biology) , protein structure , data mining , theoretical computer science , mathematics , the internet , biology , programming language , world wide web , statistics , ecology , biochemistry , geometry , finance , economics , genetics

beta-turns play an important role from a structural and functional point of view. beta-turns are the most common type of non-repetitive structures in proteins and comprise on average, 25% of the residues. In the past numerous methods have been developed to predict beta-turns in a protein. Most of these prediction methods are based on statistical approaches. In order to utilize the full potential of these methods, there is a need to develop a web server.

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