ReviewBiochimica et biophysica acta. Molecular cell research2017
Matrix metalloproteinases - From the cleavage data to the prediction tools and beyond.
Review in Biochimica et biophysica acta. Molecular cell research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
23 citing papers in PubMed, 58 citations in OpenAlex.
- Beyond Structure: The Dynamic Role of the Extracellular Matrix Components in Immune Evasion.Cancer communications (London, England) · 2026Review
- BDNF-driven synaptic plasticity requires autocrine matrix metalloproteinase-9 activity.Science advances · 2025Article
- The V5-Epitope Tag for Cell Engineering and Its Use in Immunohistochemistry and Quantitative Flow Cytometry.Biology · 2025Article
- Plasma-Activated Water Improve Wound Healing in Diabetic Rats by Influencing the Inflammatory and Remodelling Phase.International journal of molecular sciences · 2025Article
- Matrix metalloproteinase-7 is dispensable in a mouse model of sepsis-induced acute lung injury.PloS one · 2025Article
- IGF-II regulates lysyl oxidase propeptide and mediates its effects in part via basic helix-loop-helix E40.Matrix biology : journal of the International Society for Matrix Biology · 2024Article
- Prevention of Protease-Induced Degradation of Desmoplakin via Small Molecule Binding.Journal of personalized medicine · 2024Article
- Ranibizumab Modifies the Expression of Metalloproteinases and Their Tissue Inhibitors in Peripheral Blood Mononuclear Cells in Patients with Exudative Age-Related Macular Degeneration.Journal of clinical medicine · 2024Article
- XTX101, a tumor-activated, Fc-enhanced anti-CTLA-4 monoclonal antibody, demonstrates tumor-growth inhibition and tumor-selective pharmacodynamics in mouse models of cancer.Journal for immunotherapy of cancer · 2023Article
- Interactions between astrocytes and extracellular matrix structures contribute to neuroinflammation-associated epilepsy pathology.Frontiers in molecular medicine · 2023Review
- CD70 CAR T cells in AML: Form follows function.Cell reports. Medicine · 2022Article
- Non-cleavable hinge enhances avidity and expansion of CAR-T cells for acute myeloid leukemia.Cancer cell · 2022Article
- Mesenchymal Stem-Cell Remodeling of Adsorbed Type-I Collagen-The Effect of Collagen Oxidation.International journal of molecular sciences · 2022Article
- Integrating knowledge of protein sequence with protein function for the prediction and validation of new MALT1 substrates.Computational and structural biotechnology journal · 2022Article
- Predicting Proteolysis in Complex Proteomes Using Deep Learning.International journal of molecular sciences · 2021Article
- Identifying specific matrix metalloproteinase-2-inhibiting peptides through phage display-based subtractive screening.Turkish journal of biology = Turk biyoloji dergisi · 2021Article
- Therapeutic Potential of the Molecular Chaperone and Matrix Metalloproteinase Inhibitor Clusterin for Dry Eye.International journal of molecular sciences · 2020Review
- Inhibition of matrix metalloproteinases: a troubleshooting for dentin adhesion.Restorative dentistry & endodontics · 2020Review
- Nanomaterial-Based Approaches for Neural Regeneration.Pharmaceutics · 2019Review
- Adaptive F-Actin Polymerization and Localized ATP Production Drive Basement Membrane Invasion in the Absence of MMPs.Developmental cell · 2019Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Understanding the physiological role of any protease requires identification of both its cleavage substrates and their relative cleavage efficacy as compared with other substrates and other proteinases. Our review manuscript is focused on the cleavage preferences of the individual matrix metalloproteinases (MMPs) and the cleavage similarity and distinction that exist in the human MMP family. The recent in-depth analysis of MMPs by us and many others greatly increased knowledge of the MMP biology and structural-functional relationships among this protease family members. A better knowledge of cleavage preferences of MMPs has led us to the development of the prediction tools that are now capable of the high throughput reliable prediction and ranking the MMP cleavage sites in the peptide sequences in silico. Our software unifies and consolidates volumes of the pre-existing data. Now this prediction-ranking in silico tool is ready to be used by others. The software we developed may facilitate both the identification of the novel proteolytic regulatory pathways and the discovery of the previously uncharacterized substrates of the individual MMPs. Because now the MMP research may be based on the mathematical probability parameters rather than on either random luck or common sense alone, the researchers armed with this novel in silico tool will be better equipped to fine-tune or, at least, to sharply focus their wet chemistry experiments. This article is part of a Special Issue entitled: Matrix Metalloproteinases edited by Rafael Fridman.
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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.