ArticleNucleic acids research2020
MusiteDeep: a deep-learning based webserver for protein post-translational modification site prediction and visualization.
Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 173 papers, 1 of them a synthesis that pooled it.
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Who cites it
173 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Current computational tools for protein lysine acylation site prediction.Briefings in bioinformatics · 2024Pooled it
- Predicting Functional Diversity Within Enzyme Families: A Practical Perspective.Chembiochem : a European journal of chemical biology · 2026Review
- Nucleosome Assembly Protein 1 in Dinoflagellate Cells Without Architectural Nucleosomes.International journal of molecular sciences · 2026Article
- Genome-Wide Analysis of theInternational journal of molecular sciences · 2026Article
- Beyond the Capsid: How Can Post-Translational Modifications Modulate the Multifunctionality of the Orthoflavivirus Capsid Protein?Molecules (Basel, Switzerland) · 2026Review
- A conserved miR-7132a/SOCS1/STAT2 regulatory axis enhances type I IFN antiviral responses in teleost fish.Cellular and molecular life sciences : CMLS · 2026Article
- CLASPP: A unified model for predicting post-translational modifications.PLoS computational biology · 2026Article
- Artificial intelligence in plant salt stress research: from predictive models to multi-omics integration.Journal of experimental botany · 2026Review
- Machine-Learning Prediction of Extracellular Vesicle Protein Sorting Expands the Characterization of Secretory Functions inJournal of fungi (Basel, Switzerland) · 2026Article
- CLASPP: A unified model for predicting post-translational modifications.bioRxiv : the preprint server for biology · 2026Article
- Evolutionary Rate Variation at Predicted PTM Sites Reveals Localized Host-Associated Patterns in Influenza A Virus.Genome biology and evolution · 2026Article
- Reading Between the ABCs: Intrinsic Disorder and Evolutionary Dynamics of Non-Canonical Regions in ABC Transporters.International journal of molecular sciences · 2026Article
- ZDHHC14-driven RUNX2 S-palmitoylation attenuates ferroptosis and enhances chemoresistance in ovarian cancer via the YAP1/GLS1 axis.Apoptosis : an international journal on programmed cell death · 2026Article
- Learning the PTM code through a coarse-to-fine mechanism-aware framework.Nature communications · 2026Article
- Computational Analysis of SPI1 Missense Mutations and ADMET-Guided Molecular Docking of Cinnamic Acid Targeting the PU.1 ETS Domain: Implications for Hematopoietic Dysregulation and Leukemogenesis.International journal of molecular sciences · 2026Article
- An SE(3)-equivariant and dynamic multi-modal engine advancing from PTM site prediction to network understanding.Communications chemistry · 2026Article
- DeepPTMPred: a multi-modal deep learning framework for accurate prediction of protein post-translational modification sites.Briefings in bioinformatics · 2026Article
- Advances and opportunities for computational interrogation of plant proteins.The Plant journal : for cell and molecular biology · 2026Review
- DrugPTM-Bench: A Large-Scale Dataset for Predictive Modeling of Drug-Induced Cell Type-Specific Protein Post-Translational Modifications.bioRxiv : the preprint server for biology · 2026Article
- Galectin-3 Promotes Graft Injury via NLRP3 Pyroptosis in Steatotic Liver Transplantation: A Therapeutic Target for Donor Optimization.Journal of clinical and translational hepatology · 2026Article
113 more citing papers are in PubMed but not listed here.
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Authors and funding
8 authors.
Funding
Abstract
MusiteDeep is an online resource providing a deep-learning framework for protein post-translational modification (PTM) site prediction and visualization. The predictor only uses protein sequences as input and no complex features are needed, which results in a real-time prediction for a large number of proteins. It takes less than three minutes to predict for 1000 sequences per PTM type. The output is presented at the amino acid level for the user-selected PTM types. The framework has been benchmarked and has demonstrated competitive performance in PTM site predictions by other researchers. In this webserver, we updated the previous framework by utilizing more advanced ensemble techniques, and providing prediction and visualization for multiple PTMs simultaneously for users to analyze potential PTM cross-talks directly. Besides prediction, users can interactively review the predicted PTM sites in the context of known PTM annotations and protein 3D structures through homology-based search. In addition, the server maintains a local database providing pre-processed PTM annotations from Uniport/Swiss-Prot for users to download. This database will be updated every three months. The MusiteDeep server is available at https://www.musite.net. The stand-alone tools for locally using MusiteDeep are available at https://github.com/duolinwang/MusiteDeep_web.
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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.