BhairPred: prediction of β-hairpins in a protein from multiple alignment information using ANN and SVM techniques

This paper describes a method for predicting a supersecondary structural motif, β-hairpins, in a protein sequence. The method was trained and tested on a set of 5102 hairpins and 5131 non-hairpins, obtained from a non-redundant dataset of 2880 proteins using the DSSP and PROMOTIF programs. Two machi...

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Detalles Bibliográficos
Autores principales: Kumar, Manish, Bhasin, Manoj, Natt, Navjot K., Raghava, G. P. S.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2005
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1160264/
https://www.ncbi.nlm.nih.gov/pubmed/15988830
http://dx.doi.org/10.1093/nar/gki588

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1160264/
https://www.ncbi.nlm.nih.gov/pubmed/15988830
http://dx.doi.org/10.1093/nar/gki588

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