Compilation and physicochemical classification analysis of a diverse hERG inhibition database
By Remigijus Didziapetris, Kiril Lanevskij. 2016
34 citations recorded by the source corpus.
Subfields: Cardiology and Cardiovascular Medicine, Computational Theory and Mathematics, Molecular Biology
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In Computational Theory and Mathematics
In Molecular Biology
Citations in the corpus
- Ligand biological activity predicted by cleaning positive and negative chemical correlations (2019, methodology): “To illustrate this point, Table 1 shows that RMD can accurately predict binding to human ether-`a-go-go–related gene (hERG), a potassium ion channel that is an “antitarget” for drug discovery, as binding can cause cardiac arrest (35, 36).”