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1,899 claims from 1,171 papers are on the record. 46 have been checked so far; the other 1,853 have no check with a result yet.

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1 claim from 1 paper

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

   ProtTrans: Towards Cracking the Language of Life’s Code Through Self-Supervised Learning

   Elnaggar, Heinzinger, Dallago et al. · bioRxiv (Cold Spring Harbor Laboratory) · 2020

   The authors trained six language models on huge protein sequence sets and found their embeddings helped predict structure and localization, with ProtT5 beating the state of the art on per-residue tasks without evolutionary information.

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   1. UncheckedReducing the dimensions of raw protein language-model embeddings showed they captured some biophysical features of protein sequences, without labels.“Dimensionality reduction revealed that the raw protein LM- embeddings from unlabeled data captured some biophysical features of protein sequences.”