Serves to predicting Protein Blocks (PB) sequence from amino acid sequence. PB-kPRED takes no other inputs than the amino acid sequence of a query and interrogates a database of pentapeptides extracted from protein structures, without using evolutionary information. It returns the predicted local structures of the polypeptide chain in the form of a sequence of protein blocks. This tool also implements a scoring function that efficiently auto-evaluates the quality of the prediction.
Université de Nantes, Unité Fonctionnalité et Ingénierie des Protéines (UFIP), CNRS, UFR Sciences et Techniques, Nantes, France; Université de La Réunion, Saint Denis, La Réunion, France; Molecular Biophysics Unit, Indian Institute of Science, Bangalore, India; Laboratory of Excellence, Université Paris Diderot - Sorbonne Paris Cité, INTS, Paris, France; Laboratory of Excellence, Université de La Réunion, Faculty of Sciences and Technology, Saint Denis, La Réunion, France; PEACCEL SAS, Paris, France; National Cancer Institute, Bethesda, MA, USA
PB-kPRED funding source(s)
This work was supported by the Région Réunion and the Fond Social Européen [grant 20131528], the Conseil Régional des Pays de la Loire, the Ministry of Research (France), the National Institute for Blood Transfusion (INTS, France), the National Institute for Health and Medical Research (INSERM, France) the labex GR-Ex [ANR-11-LABX-0051], the program “Investissements d’avenir” of the French National Research Agency [ANR-11-IDEX-0005-02], the University Paris Diderot Sorbonne, Paris Cité (France), the Université de La Réunion, Faculty of Sciences and Technology, the Indo-French Centre for the Promotion of Advanced Research / CEFIPRA for collaborative grant (5302-2), the Department of Biotechnology, Government of India.