AIMC Topic: Phosphoprotein Phosphatases

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Machine learning prediction of cyanobacterial toxin (microcystin) toxicodynamics in humans.

ALTEX Jul 2, 2019
Microcystins (MC) represent a family of cyclic peptides with approx. 250 congeners presumed harmful to human health due to their ability to inhibit ser/thr-proteinphosphatases (PPP), albeit all hazard and risk assessments (RA) are based on data of on...
Humans Machine Learning Computer Simulation Nuclear Proteins Molecular Structure Models, Biological Microcystins Phosphoprotein Phosphatases Animal Use Alternatives
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Machine Learning-based Classification of Diffuse Large B-cell Lymphoma Patients by Their Protein Expression Profiles.

Molecular & cellular proteomics : MCP Aug 26, 2015
Characterization of tumors at the molecular level has improved our knowledge of cancer causation and progression. Proteomic analysis of their signaling pathways promises to enhance our understanding of cancer aberrations at the functional level, but ...
Humans Machine Learning Biomarkers, Tumor Lymphoma, Large B-Cell, Diffuse Cell Line, Tumor Gene Expression Regulation, Neoplastic Proteomics Proteome Signal Transduction Neoplasm Proteins Principal Component Analysis Formaldehyde Apoptosis Regulatory Proteins Isotope Labeling GTPase-Activating Proteins Neprilysin Phosphoprotein Phosphatases Tissue Embedding Tissue Fixation
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