. Author manuscript; available in PMC: 2020 Dec 14.

Published in final edited form as: Mech Ageing Dev. 2020 Jun 20;190:111284. doi: 10.1016/j.mad.2020.111284

Table 5. Ion ligand binding prediction using the IonCom (Zheng et al., 2019; Hu et al., 2016) analysis, by aligning deep neural-network based contact maps based on the PDB data of human FAHD1 (6FOH). Potential binding sites have been predicted for Zn²+, Ca²+, Mg²+, Na+, K+, PO4^3-, No binding sites have been predicted for Cu²⁺, Fe^2+/3+, Mn²⁺, CO₃ ^2-, NO₂’, SO₄ ^2-.