The Use of Quantum Molecular Calculations to Guide a Genetic Algorithm: A Way to Search for New Chemistry

Directional multiobjective optimization of metal complexes at the billion-system scale

The discovery of transition metal complexes (TMCs) with optimal properties requires large ligand libraries and efficient multiobjective optimization algorithms. Here we provide the tmQMg-L library, containing 30k diverse and synthesizable ligands with robustly assigned charges and metal coordination modes. tmQMg-L enabled the generation of 1.37 million palladium TMCs, which were used to develop and benchmark the Pareto-Lighthouse multiobjective genetic algorithm (PL-MOGA). With fine control over aim and scope, this algorithm maximized both the polarizability and highest occupied molecular orbital-lowest unoccupied molecular orbital gap of the TMCs within selected regions of the Pareto front, without requiring prior knowledge on the objective limits. Instead of genetic operations on small ligand fragments, the PL-MOGA did whole-ligand mutation and crossover operations, which in chemical spaces containing billions of systems, yielded thousands of highly diverse TMCs in an interpretable manner.

A computational study of ligand binding affinities in iron(iii) porphine and protoporphyrin IX complexes

In the context of antimalarial drug development, density functional theory has been used to model the interactions between a diverse set of 31 small ligands and the iron(iii) centre of ferriprotoporphyrin IX, as well as key events in the crystallization of this molecule by the malaria parasite.