What is recorded here?
The AlphaProteo report describes a learned system for designing protein binders and reports experimental binding results across several target proteins.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Computational design and wet-lab binding assays have distinct roles. Binding to tested targets is not clinical efficacy or universal success on proteins. This entry follows the v1 technical report, not a WRS replication.
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People and systems
Vinicius Zambaldi; David La; Alexander E. Chu; Harshnira Patani; Amy E. Danson; Tristan O. C. Kwan; Thomas Frerix; Rosalia G. Schneider; David Saxton; Ashok Thillaisundaram; Zachary Wu; Isabel Moraes; Oskar Lange; Eliseo Papa; Gabriella Stanton; Victor Martin; Sukhdeep Singh; Lai H. Wong; Russ Bates; Simon A. Kohl; Josh Abramson; Andrew W. Senior; Yilmaz Alguel; Mary Y. Wu; Irene M. Aspalter; Katie Bentley; David L. V. Bauer; Peter Cherepanov; Demis Hassabis; Pushmeet Kohli; Rob Fergus; Jue Wang
Source paper byline retained, including repeated label positions. Names are not verified unique identities or measurements of individual effort.
AlphaProteo · Google DeepMind · AlphaProteo (2024 technical report)
Generated protein-binder designs tested by human experimental collaborators. Source-reported attribution; provider attestation is unavailable.
Research locations and affiliations
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English catalogue narrative
AlphaProteo designs experimentally tested protein binders
The AlphaProteo report describes a learned system for designing protein binders and reports experimental binding results across several target proteins.
Scientific scope
Computational design and wet-lab binding assays have distinct roles. Binding to tested targets is not clinical efficacy or universal success on proteins. This entry follows the v1 technical report, not a WRS replication.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Vinicius Zambaldi; David La; Alexander E. Chu; Harshnira Patani; Amy E. Danson; Tristan O. C. Kwan; Thomas Frerix; Rosalia G. Schneider; David Saxton; Ashok Thillaisundaram; Zachary Wu; Isabel Moraes; Oskar Lange; Eliseo Papa; Gabriella Stanton; Victor Martin; Sukhdeep Singh; Lai H. Wong; Russ Bates; Simon A. Kohl; Josh Abramson; Andrew W. Senior; Yilmaz Alguel; Mary Y. Wu; Irene M. Aspalter; Katie Bentley; David L. V. Bauer; Peter Cherepanov; Demis Hassabis; Pushmeet Kohli; Rob Fergus; Jue Wang
Source paper byline retained, including repeated label positions. Names are not verified unique identities or measurements of individual effort.
AlphaProteo / Google DeepMind / AlphaProteo (2024 technical report): Generated protein-binder designs tested by human experimental collaborators (source reported).