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SVM based method for predicting beta hairpin structures in proteins (RRID:SCR_008349)Copy Citation Copied
URL: http://www.imtech.res.in/raghava/bhairpred/
Proper Citation: SVM based method for predicting beta hairpin structures in proteins (RRID:SCR_008349)
Description: Bhairpred server is based on machine learning technique SVM using single sequence information, evolutionary profile, predicted and observed secondary structure (as obtained using Psipred and DSSP), predicted and observed accessibility values (as obtainned from Netasa and DSSP). The methods were trained and tested on dataset of 2880 proteins and their performance was evaluated on dataset of 534 proteins used by Thornton (PNAS, 2002). Best prediction results were obtained with hybrid approach that combined prediction results from evolutionary profile, predicted secondary structure and accessibility.
Synonyms: BhairPred
Resource Type: service resource, analysis service resource, production service resource, data analysis service
Keywords: evolutionary, information, protein, protein structure prediction, secondary, sequence, single, svm, technique, bio.tools
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