Field-based Molecule Generation
Dumitrescu, Alexandru, Korpela, Dani, Heinonen, Markus, Verma, Yogesh, Iakovlev, Valerii, Garg, Vikas, Lähdesmäki, Harri
–arXiv.org Artificial Intelligence
This work introduces FMG, a field-based model for drug-like molecule generation. We show how the flexibility of this method provides crucial advantages over the prevalent, point-cloud based methods, and achieves competitive molecular stability generation. We tackle optical isomerism (enantiomers), a previously omitted molecular property that is crucial for drug safety and effectiveness, and thus account for all molecular geometry aspects. We demonstrate how previous methods are invariant to a group of transformations that includes enantiomer pairs, leading them invariant to the molecular R and S configurations, while our field-based generative model captures this property.
arXiv.org Artificial Intelligence
Feb-24-2024
- Country:
- Europe > Finland (0.14)
- North America > United States
- Texas (0.14)
- Genre:
- Research Report (0.82)
- Industry:
- Health & Medicine (0.47)
- Materials > Chemicals (0.47)
- Technology: