ArticlePloS one2015
CleavPredict: A Platform for Reasoning about Matrix Metalloproteinases Proteolytic Events.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 27 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed.
- Molecular de-extinction of ancient antimicrobial peptides enabled by machine learning.Cell host & microbe · 2023Article
- Predicting Structural Susceptibility of Proteins to Proteolytic Processing.International journal of molecular sciences · 2023Article
- Article
- Control of SARS-CoV-2 infection by MT1-MMP-mediated shedding of ACE2.Nature communications · 2022Article
- Identification of amino acid residues in the MT-loop of MT1-MMP critical for its ability to cleave low-density lipoprotein receptor.Frontiers in cardiovascular medicine · 2022Article
- Proteolytic Cleavage of the Extracellular Domain Affects Signaling of Parathyroid Hormone 1 Receptor.Frontiers in endocrinology · 2022Article
- A new MMP-mediated prodomain cleavage mechanism to activate bone morphogenetic proteins from the extracellular matrix.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2021Article
- Macrophage-secreted MMP9 induces mesenchymal transition in pancreatic cancer cells via PAR1 activation.Cellular oncology (Dordrecht, Netherlands) · 2020Article
- Identification of specific Tie2 cleavage sites and therapeutic modulation in experimental sepsis.eLife · 2020Article
- DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites.Bioinformatics (Oxford, England) · 2020Article
- Endothelial MT1-MMP targeting limits intussusceptive angiogenesis and colitis via TSP1/nitric oxide axis.EMBO molecular medicine · 2020Article
- Regulation of Eosinophil Recruitment and Allergic Airway Inflammation by Tropomyosin Receptor Kinase A.Journal of immunology (Baltimore, Md. : 1950) · 2020Article
- Predictive models of protease specificity based on quantitative protease-activity profiling data.Biochimica et biophysica acta. Proteins and proteomics · 2019Article
- iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites.Briefings in bioinformatics · 2019Review
- Low TREM1 expression in whole blood predicts anti-TNF response in inflammatory bowel disease.EBioMedicine · 2019Article
- VCAN Canonical Splice Site Mutation is Associated With Vitreoretinal Degeneration and Disrupts an MMP Proteolytic Site.Investigative ophthalmology & visual science · 2019Article
- Matrix Metalloproteinase-9-Dependent Release of IL-1Mediators of inflammation · 2019Article
- SMYD2 glutathionylation contributes to degradation of sarcomeric proteins.Nature communications · 2018Article
- MT4-MMP deficiency increases patrolling monocyte recruitment to early lesions and accelerates atherosclerosis.Nature communications · 2018Article
- Matrix metalloproteinases - From the cleavage data to the prediction tools and beyond.Biochimica et biophysica acta. Molecular cell research · 2017Review
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
Abstract
CleavPredict (http://cleavpredict.sanfordburnham.org) is a Web server for substrate cleavage prediction for matrix metalloproteinases (MMPs). It is intended as a computational platform aiding the scientific community in reasoning about proteolytic events. CleavPredict offers in silico prediction of cleavage sites specific for 11 human MMPs. The prediction method employs the MMP specific position weight matrices (PWMs) derived from statistical analysis of high-throughput phage display experimental results. To augment the substrate cleavage prediction process, CleavPredict provides information about the structural features of potential cleavage sites that influence proteolysis. These include: secondary structure, disordered regions, transmembrane domains, and solvent accessibility. The server also provides information about subcellular location, co-localization, and co-expression of proteinase and potential substrates, along with experimentally determined positions of single nucleotide polymorphism (SNP), and posttranslational modification (PTM) sites in substrates. All this information will provide the user with perspectives in reasoning about proteolytic events. CleavPredict is freely accessible, and there is no login required.
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Identifiers
What OpenQuestion holds
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.