ArticlePloS one2017
PRmePRed: A protein arginine methylation prediction tool.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 50 citations in OpenAlex.
- Beyond the Capsid: How Can Post-Translational Modifications Modulate the Multifunctionality of the Orthoflavivirus Capsid Protein?Molecules (Basel, Switzerland) · 2026Review
- Control of Gene Expression by Proteins That Bind Many Alternative Nucleic Acid Structures Through the Same Domain.International journal of molecular sciences · 2025Article
- Discovery and Mechanism of 16-19F, a Novel Synthetic Lethal Inhibitor of the PRMT5•MTA Complex in MTAP-Deleted Cancer Cells.ACS chemical biology · 2025Article
- Giardia fibrillarin: a bioinformatics exploration of sequence and structure.Journal of applied genetics · 2025Article
- Post-translational modifications in the Protein Data Bank.Acta crystallographica. Section D, Structural biology · 2024Review
- Post-translational modification prediction via prompt-based fine-tuning of a GPT-2 model.Nature communications · 2024Article
- Arginine methylation of caspase-8 controls life/death decisions in extrinsic apoptotic networks.Oncogene · 2024Article
- Protein Arginine Methyltransferases in Pancreatic Ductal Adenocarcinoma: New Molecular Targets for Therapy.International journal of molecular sciences · 2024Review
- Article
- Immune thrombotic thrombocytopenic purpura: pathogenesis and novel therapies: a narrative review.Annals of blood · 2023Article
- Identification genetic variations in some heat shock protein genes of Tali goat breed and study their structural and functional effects on relevant proteins.Veterinary medicine and science · 2023Article
- Arginine Methylation of the PGC-1α C-Terminus Is Temperature-Dependent.Biochemistry · 2023Article
- Protection of c-Fos from autophagic degradation by PRMT1-mediated methylation fosters gastric tumorigenesis.International journal of biological sciences · 2023Article
- CNNArginineMe: A CNN structure for training models for predicting arginine methylation sites based on the One-Hot encoding of peptide sequence.Frontiers in genetics · 2022Article
- Identification and analysis of proline-rich proteins and hybrid proline-rich proteins super family genes fromFrontiers in plant science · 2022Article
- PRMT5-mediated arginine methylation activates AKT kinase to govern tumorigenesis.Nature communications · 2021Article
- SSMFN: a fused spatial and sequential deep learning model for methylation site prediction.PeerJ. Computer science · 2021Article
- Computational Prediction of Protein Arginine Methylation Based on Composition-Transition-Distribution Features.ACS omega · 2020Article
- DeepRMethylSite: a deep learning based approach for prediction of arginine methylation sites in proteins.Molecular omics · 2020Article
- Molecular cloning and in-depth bioinformatics analysis of type II ribosome-inactivating protein isolated fromSaudi journal of biological sciences · 2020Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Protein methylation is an important Post-Translational Modification (PTMs) of proteins. Arginine methylation carries out and regulates several important biological functions, including gene regulation and signal transduction. Experimental identification of arginine methylation site is a daunting task as it is costly as well as time and labour intensive. Hence reliable prediction tools play an important task in rapid screening and identification of possible methylation sites in proteomes. Our preliminary assessment using the available prediction methods on collected data yielded unimpressive results. This motivated us to perform a comprehensive data analysis and appraisal of features relevant in the context of biological significance, that led to the development of a prediction tool PRmePRed with better performance. The PRmePRed perform reasonably well with an accuracy of 84.10%, 82.38% sensitivity, 83.77% specificity, and Matthew's correlation coefficient of 66.20% in 10-fold cross-validation. PRmePRed is freely available at http://bioinfo.icgeb.res.in/PRmePRed/.
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Registered trials
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.