1 citations · 1 across the 2 of their papers we have counts for
3 papers
De novo generation of functional terpene synthases using TpsGPT
Hamsini Ramanathan, Roman Bushuiev, Matouš Soldát +5
Terpene synthases (TPS) are a key family of enzymes responsible for generating the diverse terpene scaffolds that underpin many natural products, including front-line anticancer dr…
Generalization Beyond Benchmarks: Evaluating Learnable Protein-Ligand Scoring Functions on Unseen Targets
Jakub Kopko, David Graber, Saltuk Mustafa Eyrilmez +4
As machine learning becomes increasingly central to molecular design, it is vital to ensure the reliability of learnable protein-ligand scoring functions on novel protein targets.…
Learning to engineer protein flexibility
Petr Kouba, Joan Planas-Iglesias, Jiri Damborsky +3
Generative machine learning models are increasingly being used to design novel proteins for therapeutic and biotechnological applications. However, the current methods mostly focus…