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TNIK was scored the number 1 candidate using protein and receptor kinase PandaOmics settings based on relatively high values of network neighbors, mutated submodules, causal inference, pathways, interactome community, expression, heterogeneous graph walk and matrix factorization scores. GAK, cyclin G-associated kinase; MST1R, macrophage-stimulating 1 receptor; PKMYT1, protein kinase, membrane-associated tyrosine–threonine 1; STK26, serine–threonine kinase 26; Tchem, genes whose products can be targeted with small molecules better than the following bioactivity cutoff values: 30 nM for kinases, 100 nM for GPCRs and nuclear receptors, 10 M for ion channels, and 1 M for other target classes; Tbio, genes annotated with a Gene Ontology Molecular Function or Biological Process with an Experimental Evidence code, or targets with confirmed OMIM phenotype(s), or do not satisfy the Tdark criteria.
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