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Watson et al. (Nature, published online 11 July 2023) state that their deep-learning method RFdiffusion enables the design of diverse functional proteins from simple molecular specifications. Copy claim link
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Machine-checked, not reviewed by an editor Stated in source Supported
Supporting evidence: primary · 1 source
Date 2023-07-11 · publication Records dated 2023 → Role Articulation Register (kind of text) Nonfiction Scope of the passage Stated of the authors' own method. Scope and limits The record documents what this text states, in its register; it is not evidence that the proposition is true and implies no influence on or from any other text. The authors' own report of their method. What the paper says it contributes is recorded separately; this record is only its stance on the proposition. The abstract lists design categories and an experimental structure; only the general concluding sentence and the opening sentence are cited.
The evidence 02 primary source Supports the claim
De novo design of protein structure and function with RFdiffusion ↗ Nature · 2023-07-11
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Source excerpt “In a manner analogous to networks that produce images from user-specified inputs, RFdiffusion enables the design of diverse functional proteins from simple molecular specifications.” Location in source Abstract, last sentence
How it was read Retrieved directly from the publisher
Machine-checked · 2026-10-30
Source details and check notes Authors Joseph L. Watson; David Juergens; Nathaniel R. Bennett; Brian L. Trippe; Jason Yim; Helen E. Eisenach; Woody Ahern; Andrew J. Borst; Robert J. Ragotte; Lukas F. Milles; Basile I. M. Wicky; Nikita Hanikel; Samuel J. Pellock; Alexis Courbet; William Sheffler; Jue Wang; Preetham Venkatesh; Isaac Sappington; Susana Vázquez Torres; Anna Lauko; Valentin De Bortoli; Emile Mathieu; Sergey Ovchinnikov; Regina Barzilay; Tommi S. Jaakkola; Frank DiMaio; Minkyung Baek; David Baker Version Retrieved for the candidate pack on 2026-10-30 (SHA-256 2545d6a704439810814a21280fd6165f6fd2c3835a9441ebb2977cec1fe95b50). Nature article page, version of record of 23 August 2023 (published online 11 July 2023), as served on 2026-10-30. The candidate pack retrieved the same page a second time on 2026-10-30, at an address carrying a cookie-error query string (SHA-256 6b6808539abf90cb7708ec43ef5afa452fd115e1a344c3f5dcff7c3f6c8224b9); the passages read in that retrieval are cited here. Canonical address Open the canonical source ↗ Accessed 2026-10-30 Language English (en) Attribution Joseph L. Watson, David Juergens, Nathaniel R. Bennett, Brian L. Trippe, Jason Yim, Helen E. Eisenach, Woody Ahern, Andrew J. Borst, Robert J. Ragotte, Lukas F. Milles, Basile I. M. Wicky, Nikita Hanikel, Samuel J. Pellock, Alexis Courbet, William Sheffler, Jue Wang, Preetham Venkatesh, Isaac Sappington, Susana Vázquez Torres, Anna Lauko, Valentin De Bortoli, Emile Mathieu, Sergey Ovchinnikov, Regina Barzilay, Tommi S. Jaakkola, Frank DiMaio, Minkyung Baek, David Baker, “De novo design of protein structure and function with RFdiffusion”, 2023-07-11. Reuse No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution. Check notes Candidate pack passage, AI in biology (research/ai-in-biology). The quotation (24 words) matched the text retrieved for the candidate pack on 2026-10-30. Matching ignored differences of whitespace, case, quotation marks, dashes and Unicode compatibility forms, so the source’s typography can differ. The authors' stated contribution. A cross-family machine check (2026-10-30, item B109) re-read the record’s sources and found full support. No human editorial review. primary source Supports the claim
De novo design of protein structure and function with RFdiffusion ↗ Nature · 2023-07-11
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Cite the original source Cite the original document, not Selekoa. Check these details against it.
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Source excerpt “There has been considerable recent progress in designing new proteins using deep-learning methods” Location in source Abstract, first sentence
How it was read Retrieved directly from the publisher
Machine-checked · 2026-10-30
Source details and check notes Authors Joseph L. Watson; David Juergens; Nathaniel R. Bennett; Brian L. Trippe; Jason Yim; Helen E. Eisenach; Woody Ahern; Andrew J. Borst; Robert J. Ragotte; Lukas F. Milles; Basile I. M. Wicky; Nikita Hanikel; Samuel J. Pellock; Alexis Courbet; William Sheffler; Jue Wang; Preetham Venkatesh; Isaac Sappington; Susana Vázquez Torres; Anna Lauko; Valentin De Bortoli; Emile Mathieu; Sergey Ovchinnikov; Regina Barzilay; Tommi S. Jaakkola; Frank DiMaio; Minkyung Baek; David Baker Version Retrieved for the candidate pack on 2026-10-30 (SHA-256 2545d6a704439810814a21280fd6165f6fd2c3835a9441ebb2977cec1fe95b50). Nature article page, version of record of 23 August 2023 (published online 11 July 2023), as served on 2026-10-30. The candidate pack retrieved the same page a second time on 2026-10-30, at an address carrying a cookie-error query string (SHA-256 6b6808539abf90cb7708ec43ef5afa452fd115e1a344c3f5dcff7c3f6c8224b9); the passages read in that retrieval are cited here. Canonical address Open the canonical source ↗ Accessed 2026-10-30 Language English (en) Attribution Joseph L. Watson, David Juergens, Nathaniel R. Bennett, Brian L. Trippe, Jason Yim, Helen E. Eisenach, Woody Ahern, Andrew J. Borst, Robert J. Ragotte, Lukas F. Milles, Basile I. M. Wicky, Nikita Hanikel, Samuel J. Pellock, Alexis Courbet, William Sheffler, Jue Wang, Preetham Venkatesh, Isaac Sappington, Susana Vázquez Torres, Anna Lauko, Valentin De Bortoli, Emile Mathieu, Sergey Ovchinnikov, Regina Barzilay, Tommi S. Jaakkola, Frank DiMaio, Minkyung Baek, David Baker, “De novo design of protein structure and function with RFdiffusion”, 2023-07-11. Reuse No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution. Check notes Candidate pack passage, AI in biology (research/ai-in-biology). The quotation (13 words) matched the text retrieved for the candidate pack on 2026-10-30. Matching ignored differences of whitespace, case, quotation marks, dashes and Unicode compatibility forms, so the source’s typography can differ. The authors' own account of earlier work, kept as a pointer for later searches. A cross-family machine check (2026-10-30, item B109) re-read the record’s sources and found full support. No human editorial review. Status and meaning Editorial status. Not reviewed by an editor . An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.
Relation. A passage of the document meets the proposition’s criterion. The record documents what the text states, in its register (fiction and satire are labelled); it is not evidence that the proposition is true and implies no influence on or from another text.
Date. Online publication date printed on the article page.
Record ID aib-arg-p4-watson-2023