What is recorded here?
Generated amino-acid sequences for target backbones, with structural and functional experiments supporting selected designs.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
The result covers tested design classes and samples, not successful folding or function for every generated sequence.
Read the original work
- Robust deep learning–based protein sequence design using ProteinMPNN
- Robust deep learning–based protein sequence design using ProteinMPNN — deposited bibliography
- Publisher-deposited byline: De novo design of protein structure and function with RFdiffusion
- Baker Lab: ProteinMPNN project roles
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
Justas Dauparas; I. Anishchenko; Nathaniel R. Bennett; H. Bai; R. J. Ragotte; Lukas F. Milles; Basile I. M. Wicky; Alexis Courbet; R. J. de Haas; N. Bethel; P. J. Y. Leung; T. F. Huddy; S. Pellock; D. Tischer; F. Chan; B. Koepnick; H. Nguyen; A. Kang; B. Sankaran; A. K. Bera; N. P. King; David Baker
Full deposited paper byline or identified author of the scoped historical source. Association does not measure individual effort.
ProteinMPNN · University of Washington-led collaboration · ProteinMPNN
Sequence generation; human teams designed targets and performed laboratory validation. Source-reported attribution; provider attestation is unavailable.
Research locations and affiliations
Documented mapping · Included in country comparison
Documented countries / regions: United States, Netherlands
Department of Biochemistry, University of Washington, Seattle, WA, USA.; Institute for Protein Design, University of Washington, Seattle, WA, USA.; Molecular Engineering Graduate Program, University of Washington, Seattle, WA, USA.; Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA.; Department of Physical Chemistry and Soft Matter, Wageningen University and Research, Wageningen, Netherlands.; Berkeley Center for Structural Biology, Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley Laboratory, Berkeley, CA, USA.
English catalogue narrative
ProteinMPNN: designing sequences for protein structures
Generated amino-acid sequences for target backbones, with structural and functional experiments supporting selected designs.
Scientific scope
The result covers tested design classes and samples, not successful folding or function for every generated sequence.
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
Justas Dauparas; I. Anishchenko; Nathaniel R. Bennett; H. Bai; R. J. Ragotte; Lukas F. Milles; Basile I. M. Wicky; Alexis Courbet; R. J. de Haas; N. Bethel; P. J. Y. Leung; T. F. Huddy; S. Pellock; D. Tischer; F. Chan; B. Koepnick; H. Nguyen; A. Kang; B. Sankaran; A. K. Bera; N. P. King; David Baker
Full deposited paper byline or identified author of the scoped historical source. Association does not measure individual effort.
ProteinMPNN / University of Washington-led collaboration / ProteinMPNN: Sequence generation; human teams designed targets and performed laboratory validation (source reported).