Labs & Groups (1)
Models (4)
Protein
ProteinDT
UC Berkeley
A multimodal framework for text-guided protein design, enabling sequence generation, zero-shot editing, and property prediction via contrastive learning.
10695
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DNA & Gene
GPN
Song Lab
A DNA language model for unsupervised genome-wide variant effect prediction, trained on multispecies genomes via masked language modeling without functional annotation labels.
339
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DNA & Gene
GPN-MSA
UC Berkeley
Transformer-based DNA language model using whole-genome multispecies alignments for genome-wide variant effect prediction across coding and non-coding regions.
33965
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Protein
TAPE
UC Berkeley
Benchmark suite of five biologically relevant tasks for evaluating protein sequence representation learning, covering structure, homology, and engineering.
738
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