ArticlePloS one2011
NR-2L: a two-level predictor for identifying nuclear receptor subfamilies based on sequence-derived features.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed.
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- iDEF-PseRAAC: Identifying the Defensin Peptide by Using Reduced Amino Acid Composition Descriptor.Evolutionary bioinformatics online · 2019Article
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- 2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function.Molecular therapy. Nucleic acids · 2017Article
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- Ohgata, the Single Drosophila Ortholog of Human Cereblon, Regulates Insulin Signaling-dependent Organismic Growth.The Journal of biological chemistry · 2016Article
- iACP: a sequence-based tool for identifying anticancer peptides.Oncotarget · 2016Article
- PredHSP: Sequence Based Proteome-Wide Heat Shock Protein Prediction and Classification Tool to Unlock the Stress Biology.PloS one · 2016Article
- Accurate prediction of nuclear receptors with conjoint triad feature.BMC bioinformatics · 2015Article
- iCataly-PseAAC: Identification of Enzymes Catalytic Sites Using Sequence Evolution Information with Grey Model GM (2,1).The Journal of membrane biology · 2015Article
- Multi-location gram-positive and gram-negative bacterial protein subcellular localization using gene ontology and multi-label classifier ensemble.BMC bioinformatics · 2015Article
- Molecular docking analysis of known flavonoids as duel COX-2 inhibitors in the context of cancer.Bioinformation · 2015Article
- NRfamPred: a proteome-scale two level method for prediction of nuclear receptor proteins and their sub-families.Scientific reports · 2014Article
- A survey of computational intelligence techniques in protein function prediction.International journal of proteomics · 2014Review
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- A multilabel model based on Chou's pseudo-amino acid composition for identifying membrane proteins with both single and multiple functional types.The Journal of membrane biology · 2013Article
- iGPCR-drug: a web server for predicting interaction between GPCRs and drugs in cellular networking.PloS one · 2013Article
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3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Nuclear receptors (NRs) are one of the most abundant classes of transcriptional regulators in animals. They regulate diverse functions, such as homeostasis, reproduction, development and metabolism. Therefore, NRs are a very important target for drug development. Nuclear receptors form a superfamily of phylogenetically related proteins and have been subdivided into different subfamilies due to their domain diversity. In this study, a two-level predictor, called NR-2L, was developed that can be used to identify a query protein as a nuclear receptor or not based on its sequence information alone; if it is, the prediction will be automatically continued to further identify it among the following seven subfamilies: (1) thyroid hormone like (NR1), (2) HNF4-like (NR2), (3) estrogen like, (4) nerve growth factor IB-like (NR4), (5) fushi tarazu-F1 like (NR5), (6) germ cell nuclear factor like (NR6), and (7) knirps like (NR0). The identification was made by the Fuzzy K nearest neighbor (FK-NN) classifier based on the pseudo amino acid composition formed by incorporating various physicochemical and statistical features derived from the protein sequences, such as amino acid composition, dipeptide composition, complexity factor, and low-frequency Fourier spectrum components. As a demonstration, it was shown through some benchmark datasets derived from the NucleaRDB and UniProt with low redundancy that the overall success rates achieved by the jackknife test were about 93% and 89% in the first and second level, respectively. The high success rates indicate that the novel two-level predictor can be a useful vehicle for identifying NRs and their subfamilies. As a user-friendly web server, NR-2L is freely accessible at either http://icpr.jci.edu.cn/bioinfo/NR2L or http://www.jci-bioinfo.cn/NR2L. Each job submitted to NR-2L can contain up to 500 query protein sequences and be finished in less than 2 minutes. The less the number of query proteins is, the shorter the time will usually be. All the program codes for NR-2L are available for non-commercial purpose upon request.
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