AIMC Topic: Receptor-Like Protein Tyrosine Phosphatases, Class 2

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Profiling prediction of nuclear receptor modulators with multi-task deep learning methods: toward the virtual screening.

Briefings in bioinformatics Sep 20, 2022
Nuclear receptors (NRs) are ligand-activated transcription factors, which constitute one of the most important targets for drug discovery. Current computational strategies mainly focus on a single target, and the transfer of learned knowledge among N...
Deep Learning Receptors, Calcitriol Receptors, Aryl Hydrocarbon Receptors, Muscarinic Ligands Receptors, Cytoplasmic and Nuclear Receptor, Metabotropic Glutamate 5 Receptors, Artificial Proto-Oncogene Proteins c-met B-Cell Activation Factor Receptor Calcitonin Receptor-Like Protein Cytokine Receptor gp130 Histamine H2 Antagonists Neurokinin-1 Receptor Antagonists Receptor-Like Protein Tyrosine Phosphatases, Class 2 Receptors, Gastrointestinal Hormone Receptors, Polymeric Immunoglobulin
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