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Keyword: protein representation learning ×Clear all

2 claims from 2 papers

1. Biochemistry, Genetics and Molecular Biology › Machine Learning in Bioinformatics

   SaProt: Protein Language Modeling with Structure-aware Vocabulary

   Su, Han, Zhou, Shan, Zhou and Yuan · bioRxiv (Cold Spring Harbor Laboratory) · 2023

   The authors build SaProt, a protein language model that combines residue tokens with structure tokens from Foldseek, trained on about 40 million protein sequences and structures.

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   1. UncheckedThe SaProt protein model is reported to beat well-established baseline models across 10 downstream tasks, which the authors take as showing broad applicability.“Through extensive evaluation, our SaProt model surpasses well-established and renowned baselines across 10 significant downstream tasks, demonstrating its exceptional capacity and broad applicability.”

2. Biochemistry, Genetics and Molecular Biology › Machine Learning in Bioinformatics

   Evaluating Protein Transfer Learning with TAPE

   Rao, Bhattacharya, Thomas et al. · PubMed · 2019

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   1. Unchecked“We find that self-supervised pretraining is helpful for almost all models on all tasks, more than doubling performance in some cases.”