De novo design of protein structure and function with RFdiffusion
Nature 620, 1089–1100, published online 11 July 2023. Dates from the article page, "About this article": "Received: 14 December 2022 Accepted: 07 July 2023 Published: 11 July 2023 Version of record: 23 August 2023 Issue date: 31 August 2023".
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- Minkyung Baek · David Baker · Joseph L. Watson
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- Published 2023-07-11 authorship evidence authorship evidence authorship evidence
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- De novo design of protein structure and function with RFdiffusion Nature · published 2023-07-11 · 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.
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- AI in science →1 record on this document
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Issue and authorship records
- Author: Minkyung BaekMinkyung Baek is credited as a co-author of Watson et al., ‘De novo design of protein structure and function with RFdiffusion’ (Nature, published online 11 July 2023).2023-07-11 · publication · Stated in source · Supported Inspect claim & evidence ↗Minkyung Baek: person page →
- Author: David BakerDavid Baker is credited as a co-author of Watson et al., ‘De novo design of protein structure and function with RFdiffusion’ (Nature, published online 11 July 2023), whose contributions statement lists D.B. among those who conceived the study.2023-07-11 · publication · Stated in source · Supported Inspect claim & evidence ↗David Baker: person page →
- Author: Joseph L. WatsonJoseph L. Watson is credited as the lead-listed author of ‘De novo design of protein structure and function with RFdiffusion’ (Nature, published online 11 July 2023), one of seven authors marked as contributing equally.2023-07-11 · publication · Stated in source · Supported Inspect claim & evidence ↗Joseph L. Watson: person page →
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- Machine-learning methods make proteins with new functions designableWatson 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.2023-07-11 · publication · Stated in source · Supported Inspect claim & evidence ↗Machine-learning methods make proteins with new functions designable: propositions page →
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- StatementCode released free for academic, personal and commercial use“Code for running RFdiffusion has been released on GitHub, free for academic, personal and commercial use”code availabilityInspect claim & evidence ↗
- StatementA generative model of protein backbones obtained by fine-tuning RoseTTAFold“Here we show that by fine-tuning the RoseTTAFold structure prediction network on protein structure denoising tasks, we obtain a generative model of protein backbones”abstractInspect claim & evidence ↗