{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["4"],"submitter":["Kumar R"],"pubmed_abstract":["Nuclear receptor proteins (NRP) are transcription factor that regulate many vital cellular processes in animal cells. NRPs form a super-family of phylogenetically related proteins and divided into different sub-families on the basis of ligand characteristics and their functions. In the post-genomic era, when new proteins are being added to the database in a high-throughput mode, it becomes imperative to identify new NRPs using information from amino acid sequence alone. In this study we report a SVM based two level prediction systems, NRfamPred, using dipeptide composition of proteins as input. At the 1st level, NRfamPred screens whether the query protein is NRP or non-NRP; if the query protein belongs to NRP class, prediction moves to 2nd level and predicts the sub-family. Using leave-one"],"journal":["Scientific reports"],"pagination":["6810"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC5381360"],"repository":["biostudies-literature"],"pubmed_title":["NRfamPred: a proteome-scale two level method for prediction of nuclear receptor proteins and their sub-families."],"pmcid":["PMC5381360"],"pubmed_authors":["Kumar M","Kumari B","Kumar R","Srivastava A"],"additional_accession":[]},"is_claimable":false,"name":"NRfamPred: a proteome-scale two level method for prediction of nuclear receptor proteins and their sub-families.","description":"Nuclear receptor proteins (NRP) are transcription factor that regulate many vital cellular processes in animal cells. NRPs form a super-family of phylogenetically related proteins and divided into different sub-families on the basis of ligand characteristics and their functions. In the post-genomic era, when new proteins are being added to the database in a high-throughput mode, it becomes imperative to identify new NRPs using information from amino acid sequence alone. In this study we report a SVM based two level prediction systems, NRfamPred, using dipeptide composition of proteins as input. At the 1st level, NRfamPred screens whether the query protein is NRP or non-NRP; if the query protein belongs to NRP class, prediction moves to 2nd level and predicts the sub-family. Using leave-one","dates":{"release":"2014-01-01T00:00:00Z","publication":"2014 Oct","modification":"2025-04-04T21:39:47.961Z","creation":"2019-03-27T02:40:26Z"},"accession":"S-EPMC5381360","cross_references":{"pubmed":["25351274"],"doi":["10.1038/srep06810"]}}