Partial to Total Generation of 3D Transition-Metal Complexes

Area of Science:

• Computational Chemistry
• Materials Science
• Coordination Chemistry

Background:

• Transition-metal complexes (TMCs) are vital as metallodrugs and functional materials.
• Ligand design is crucial for tuning TMC properties.
• Previous computational methods have limitations in flexibility and scope.

Purpose of the Study:

• To introduce multi-LigandDiff, an enhanced scaffold-based diffusion model for de novo ligand design.
• To demonstrate the model's flexibility in handling existing or novel ligands and predefined denticity.
• To showcase the model's applicability across various transition metals and coordination geometries.

Main Methods:

• Extension of the LigandDiff approach using a scaffold-based diffusion model.
• Implementation of user-defined ligand presence and denticity.
• Application to the design of iron(II) spin-crossover (SCO) complexes.

Main Results:

• Multi-LigandDiff significantly outperforms its predecessor, LigandDiff.
• The model successfully generates well-defined, structurally reasonable ligands transferable to multiple transition metals.
• 338 diverse Fe(II) spin-crossover complexes were designed from 47 known examples.

Conclusions:

• Multi-LigandDiff is a powerful and flexible tool for the de novo design of novel transition-metal complexes.
• The model accelerates the discovery of functional TMCs, including spin-crossover materials.
• This approach offers a promising avenue for computational materials design and drug discovery.