Partial to Total Generation of 3D Transition-Metal Complexes

被引:0
|
作者
Jin, Hongni [1 ]
Merz Jr, Kenneth M. [1 ,2 ]
机构
[1] Michigan State Univ, Dept Chem, E Lansing, MI 48824 USA
[2] Michigan State Univ, Dept Biochem & Mol Biol, E Lansing, MI 48824 USA
关键词
LIGAND DENTICITY; BASIS-SETS;
D O I
10.1021/acs.jctc.4c00775
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The design of transition-metal complexes (TMCs) has drawn much attention over the years because of their important applications as metallodrugs and functional materials. In this work, we present an extension of our recently reported approach, LigandDiff [Jin et al. J. Chem. Theory Comput. 20, 4377(2024)]. The new model, which we call multi-LigandDiff, is more flexible and greatly outperforms its predecessor. This scaffold-based diffusion model allows de novo ligand design with either existing ligands or without any ligand. Moreover, it allows users to predefine the denticity of the generated ligand. Our results indicate that multi-LigandDiff can generate well-defined ligands and is transferable to multiple transition metals and coordination geometries. In terms of its application, multi-LigandDiff successfully designed 338 Fe(II) spin-crossover (SCO) complexes from only 47 experimentally validated SCO complexes. And these generated complexes are configurationally diverse and structurally reasonable. Overall, the results show that multi-LigandDiff is an ideal tool to design novel TMCs from scratch.
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页码:8367 / 8377
页数:11
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