DOI: 10.1039/d6cc03919g ISSN: 1359-7345

Coordination-informed machine learning enables virtual screening of phenanthroline ligands by predicting Am/Eu binding preferences

Zhiyuan Zhang, Dongsheng Yang, Yulong Que, Yihuang Wu, Chong Liu

A coordination-informed machine-learning workflow transfers 3D/quantum-chemical knowledge into design-stage ligand screening, enabling rapid Am/Eu binding-preference prediction and prioritization in a 300 000-member phenanthroline-derived library.

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