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1,005 claims from 629 papers are on the record. 39 have been checked so far; the other 966 have no check with a result yet.

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Status: Unchecked ×Keyword: protein evolution ×Clear all

4 claims from 3 papers

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

   Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences

   Rives, Meier, Sercu et al. · Proceedings of the National Academy of Sciences · 2021

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   1. Unchecked“We find that without prior knowledge, information emerges in the learned representations on fundamental properties of proteins such as secondary structure, contacts, and biological activity.”
   2. Unchecked“Unsupervised representation learning enables state-of-the-art supervised prediction of mutational effect and secondary structure and improves state-of-the-art features for long-range contact prediction.”

2. Biochemistry, Genetics and Molecular Biology › Protein Structure and Dynamics

   Simulating 500 million years of evolution with a language model

   Hayes, Rao, Akin et al. · Science · 2025

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   1. Unchecked“Among the generations that we synthesized, we found a bright fluorescent protein at a far distance (58% sequence identity) from known fluorescent proteins, which we estimate is equivalent to simulating 500 million years of evolution.”

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

   Language models enable zero-shot prediction of the effects of mutations on protein function

   Meier, Rao, Verkuil, Liu, Sercu and Rives · bioRxiv (Cold Spring Harbor Laboratory) · 2021

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   1. Unchecked“We show that using only zero-shot inference, without any supervision from experimental data or additional training, protein language models capture the functional effects of sequence variation, performing at state-of-the-art.”