Open access
Jul 2026
Transformer-based molecular fragment prediction using SMILES and DeepSMILES representations in a fragment-based drug discovery pipeline
Results show that string representation meaningfully influences transformer fragment recovery and that representation-aware selection outperforms either representation alone.
Aayush Kothari, Amisha Gupta, Nisarg Shah et al.
· Journal of Cheminformatics · 0 citations