--- title: AlphaFold: Five years of impact | daily.dev description: AlphaFold has transformed biological research over five years, being cited in 35,000+ papers and incorporated into 200,000+ methodologies. Independent analysis... canonical: https://daily.dev/posts/alphafold-five-years-of-impact-tqbavrueh twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: AlphaFold: Five years of impact | daily.dev og:description: AlphaFold has transformed biological research over five years, being cited in 35,000+ papers and incorporated into 200,000+ methodologies. Independent analysis... og:url: https://daily.dev/posts/alphafold-five-years-of-impact-tqbavrueh og:image: https://api.daily.dev/og/posts/tqbAVrUEH.png og:image:alt: AlphaFold: Five years of impact og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # AlphaFold: Five years of impact **[DeepMind](https://daily.dev/sources/dm)** · 2 min read · 0 upvotes · 0 comments ## Summary AlphaFold has transformed biological research over five years, being cited in 35,000+ papers and incorporated into 200,000+ methodologies. Independent analysis shows researchers using AlphaFold 2 submit 40% more novel protein structures, with their work twice as likely to be cited in clinical articles. AlphaFold 3 extends capabilities beyond proteins to predict DNA, RNA, and ligand interactions, enabling "digital biology" for drug discovery. The AlphaFold Server has generated 8 million structure predictions for thousands of researchers worldwide, while Isomorphic Labs applies the technology to accelerate drug design. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [What’s next for AlphaFold: A conversation with a Google DeepMind Nobel laureate](https://daily.dev/posts/what-s-next-for-alphafold-a-conversation-with-a-google-deepmind-nobel-laureate-bka0wcmlt) · MIT Technology Review · 0 upvotes · 0 comments - [Predicting Molecular Structures with AlphaFold 2 and 3](https://daily.dev/posts/predicting-molecular-structures-with-alphafold-2-and-3-qhqe8pzbn) · DigitalOcean Community · 0 upvotes · 0 comments - [How to Accelerate Protein Structure Prediction at Proteome-Scale](https://daily.dev/posts/how-to-accelerate-protein-structure-prediction-at-proteome-scale-nqxd3k5yj) · NVIDIA Developer · 0 upvotes · 0 comments --- Tags: [#ai](https://daily.dev/tags/ai), [#machine-learning](https://daily.dev/tags/machine-learning), [#biotech](https://daily.dev/tags/biotech) [View this post on daily.dev](https://daily.dev/posts/alphafold-five-years-of-impact-tqbavrueh) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"AlphaFold: Five years of impact","url":"https://daily.dev/posts/alphafold-five-years-of-impact-tqbavrueh","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/alphafold-five-years-of-impact-tqbavrueh"},"datePublished":"2026-02-12T16:37:57.612Z","dateModified":"2026-02-12T16:38:25.314Z","description":"AlphaFold has transformed biological research over five years, being cited in 35,000+ papers and incorporated into 200,000+ methodologies. 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