AIMC Topic: Matrix Metalloproteinase 13

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Deep learning guided design of protease substrates.

Nature communications Jan 6, 2026
Proteases, enzymes that play critical roles in health and disease, exert their function through the cleavage of peptide bonds. Identifying substrates that are efficiently and selectively cleaved by target proteases is essential for studying protease ...
Humans Peptides Deep Learning Proteolysis Substrate Specificity Peptide Hydrolases Matrix Metalloproteinase 13
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Artificial Intelligence Approach to Find Lead Compounds for Treating Tumors.

The journal of physical chemistry letters Jul 22, 2019
It has been demonstrated that MMP13 enzyme is related to most cancer cell tumors. The world's largest traditional Chinese medicine database was applied to screen for structure-based drug design and ligand-based drug design. To predict drug activity, ...
Machine Learning Algorithms Peptides Drug Design Antineoplastic Agents Deep Learning Cyclin-Dependent Kinase Inhibitor p16 Proteins Databases, Protein Models, Molecular Mutation Ligands Proto-Oncogene Proteins c-bcl-2 Tumor Suppressor Protein p53 Binding Sites Proto-Oncogene Proteins c-mdm2 Cyclin-Dependent Kinase 6 Databases, Pharmaceutical Matrix Metalloproteinase 13
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