ArticleBMC genomics2020
RBPsuite: RNA-protein binding sites prediction suite based on deep learning.
Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.
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Who cites it
70 citing papers in PubMed, 115 citations in OpenAlex.
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- ERβ/circAHNAK Axis Inhibits USP10-FMR1 Deubiquitination to Prevent m⁶A-Mediated ADAM17 Decay and Promote Angiogenesis in Clear Cell Renal Cell Carcinoma.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
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- Hypergraph Learning with Hyperedge Gating and Multiscale Topology Feature Learning for Predicting Disease-Related circRNAs.ACS omega · 2025Article
- Single-sequence protein-RNA complex structure prediction by geometric attention-enabled pairing of biological language models.Cell systems · 2025Article
- Circulating SLC17A5 as a Diagnostic Biomarker of Early Endothelial Dysfunction in Young Dyslipidemic Individuals.Journal of cardiovascular translational research · 2025Article
- Hsa_circ_0026782 Acts as a "Molecular Break" of CREB1-Mediated Transcription by Promoting Its Phosphorylation at Ser142 That Prevents Keloid Progression.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- RNA/DNA-binding protein TDP43 regulates DNA mismatch repair genes with implications for genome stability.Nucleic acids research · 2025Article
- U2AF1 mutations rescue deleterious exon skipping induced by KRAS mutations.bioRxiv : the preprint server for biology · 2025Article
10 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundRNA-binding proteins (RBPs) play crucial roles in various biological processes. Deep learning-based methods have been demonstrated powerful on predicting RBP sites on RNAs. However, the training of deep learning models is very time-intensive and computationally intensive.
resultsHere we present a deep learning-based RBPsuite, an easy-to-use webserver for predicting RBP binding sites on linear and circular RNAs. For linear RNAs, RBPsuite predicts the RBP binding scores with them using our updated iDeepS. For circular RNAs (circRNAs), RBPsuite predicts the RBP binding scores with them using our developed CRIP. RBPsuite first breaks the input RNA sequence into segments of 101 nucleotides and scores the interaction between the segments and the RBPs. RBPsuite further detects the verified motifs on the binding segments gives the binding scores distribution along the full-length sequence.
conclusionsRBPsuite is an easy-to-use online webserver for predicting RBP binding sites and freely available at http://www.csbio.sjtu.edu.cn/bioinf/RBPsuite/ .
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.