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    AI for science· 2021

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

    Alexander Rives (first author) · 2021

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    DOI 10.1073/pnas.2016239118OpenAlex W3146944767

    On the reading lists

    Why it matters

    Established that protein language models learn structural and functional biology from unlabeled sequences.

    Condensed from the expert lists' notes.

    The record

    First released
    2021 (from OpenAlex)
    Citations
    3,277 citations, as counted by OpenAlex (CC0)
    Named by
    both expert lists
    Score
    0.579 · computed rank 169 · consensus 0.85, must-read 0.5, citations percentile 0.783 (2020s · science), awards 0, existing lists 0. Method

    Data sources

    Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.