Labs & Groups (1)
Models (6)
Molecular linker design model fine-tuned from Llama 3 that emits PROTAC and fragment linkers as SMILES from natural-language geometry prompts.
Protein evolution model that learns indel dynamics and epistasis from unaligned sequences, simulating trajectories that yield functional proteins.
Text-guided protein design framework aligning language with sequences for text-conditioned generation, zero-shot editing, and property prediction.
Latent diffusion model for controllable all-atom protein generation that co-designs sequence and structure while training on sequences alone.
DNA language model for genome-wide variant effect prediction, trained by masked language modeling on multispecies genomes with no labeled data.
DNA language model for variant effect prediction across coding and non-coding regions, using whole-genome alignments of 100 vertebrate species.