VECTOR+ combines contrastive learning and Gaussian mixture sampling to generate novel, synthetically plausible inhibitors from low-data datasets, with improved docking scores over known compounds.
Transformer-based generative model accelerating the development of novel braf inhibitors.ACS omega 6, 33864–33873 (2021)
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Valid Property-Enhanced Contrastive Learning for Targeted Optimization & Resampling for Novel Drug Design
VECTOR+ combines contrastive learning and Gaussian mixture sampling to generate novel, synthetically plausible inhibitors from low-data datasets, with improved docking scores over known compounds.