Generative protein design

Biotechnology & Synthetic BiologyUpdated Oct 5, 2026Version v1

Evidence

Public papers linked to this topic and used as evidence for gaps, timelines, and knowledge views.

99 papers

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Showing 61-72 of total 99 evidence records.

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2023CrossrefSupporting evidence0 citations

2023OpenAlexSupporting evidence230 citations

De novo design of protein interactions with learned surface fingerprints

Pablo Gaínza; Sarah Wehrle; Alexandra Van Hall‐Beauvais; Anthony Marchand; Andreas Scheck; Zander Harteveld; Stephen Buckley; Dongchun Ni; Shuguang Tan; Freyr Sverrisson; Casper A. Goverde; Priscilla Turelli; Charlène Raclot; Alexandra Teslenko; Martin Pačesa; Stéphane Rosset; Sandrine Georgeon; Jane Marsden; Aaron S. Petruzzella; Kefang Liu; Zepeng Xu; Yan Chai; Pu Han; George F. Gao; Elisa Oricchio; Beat Fierz; Didier Trono; Henning Stahlberg; Michael M. Bronstein; Bruno E. Correia

Apr 26, 2023Nature

2023OpenAlexSupporting evidence230 citations

De novo design of protein interactions with learned surface fingerprints

Apr 26, 2023Nature

2022OpenAlexSupporting evidence269 citations

Hallucinating symmetric protein assemblies

Basile I. M. Wicky; Lukas F. Milles; Alexis Courbet; Robert J. Ragotte; Justas Dauparas; Elias S. Kinfu; S. Tipps; Ryan D. Kibler; Minkyung Baek; Frank DiMaio; Xinting Li; Lauren Carter; Alex Kang; Hannah Nguyen; Asim K. Bera; David Baker

Sep 15, 2022Science

2022CrossrefSupporting evidence1 citations

Match_Motif: A rapid computational tool to assist in protein–protein interaction design

Martin Zacharias

Jan 1, 2022Protein Science

2022CrossrefSupporting evidence22 citations

Improving protein tertiary structure prediction by deep learning and distance prediction in <scp>CASP14</scp>

Jian Liu; Tianqi Wu; Zhiye Guo; Jie Hou; Jianlin Cheng

Jan 1, 2022Proteins: Structure, Function, and Bioinformatics

2021CrossrefSupporting evidence14 citations

Study of real-valued distance prediction for protein structure prediction with deep learning

Jin Li; Jinbo Xu

Oct 11, 2021Bioinformatics

2021OpenAlexSupporting evidence3,337 citations

Highly accurate protein structure prediction for the human proteome

Kathryn Tunyasuvunakool; Jonas Adler; Zachary Wu; Tim Green; Michał Zieliński; Augustin Žídek; Alex Bridgland; Andrew Cowie; Clemens Meyer; Agata Laydon; Sameer Velankar; Gerard J. Kleywegt; Alex Bateman; Richard Evans; Alexander Pritzel; Michael Figurnov; Olaf Ronneberger; Russ Bates; Simon Köhl; Anna Potapenko; Andrew J. Ballard; Bernardino Romera‐Paredes; Stanislav Nikolov; Rishub Jain; Ellen Clancy; David Reiman; Stig Petersen; Andrew Senior; Koray Kavukcuoglu; Ewan Birney; Pushmeet Kohli; John Jumper; Demis Hassabis

Jul 22, 2021Nature

2021OpenAlexSupporting evidence47K citations

Highly accurate protein structure prediction with AlphaFold

John Jumper; Richard Evans; Alexander Pritzel; Tim Green; Michael Figurnov; Olaf Ronneberger; Kathryn Tunyasuvunakool; Russ Bates; Augustin Žídek; Anna Potapenko; Alex Bridgland; Clemens Meyer; Simon Köhl; Andrew J. Ballard; Andrew Cowie; Bernardino Romera‐Paredes; Stanislav Nikolov; Rishub Jain; Jonas Adler; Trevor Back; Stig Petersen; David Reiman; Ellen Clancy; Michał Zieliński; Martin Steinegger; Michalina Pacholska; Tamas Berghammer; Sebastian W. Bodenstein; David Silver; Oriol Vinyals; Andrew Senior; Koray Kavukcuoglu; Pushmeet Kohli; Demis Hassabis

Jul 15, 2021Nature

2021OpenAlexSupporting evidence47K citations

Highly accurate protein structure prediction with AlphaFold

Jul 15, 2021Nature

2021OpenAlexSupporting evidence86 citations

De Novo Molecule Design Through the Molecular Generative Model Conditioned by 3D Information of Protein Binding Sites

Mingyuan Xu; Ting Ran; Hongming Chen

Jul 1, 2021Journal of Chemical Information and Modeling

2021OpenAlexSupporting evidence86 citations

De Novo Molecule Design Through the Molecular Generative Model Conditioned by 3D Information of Protein Binding Sites

Mingyuan Xu; Ting Ran; Hongming Chen

Jul 1, 2021Journal of Chemical Information and Modeling

Evidence

CAA-PPI: A Computational Feature Design to Predict Protein–Protein Interactions Using Different Encoding Strategies

De novo design of protein interactions with learned surface fingerprints

De novo design of protein interactions with learned surface fingerprints

Hallucinating symmetric protein assemblies

Match_Motif: A rapid computational tool to assist in protein–protein interaction design

Improving protein tertiary structure prediction by deep learning and distance prediction in <scp>CASP14</scp>

Study of real-valued distance prediction for protein structure prediction with deep learning

Highly accurate protein structure prediction for the human proteome

Highly accurate protein structure prediction with AlphaFold

Highly accurate protein structure prediction with AlphaFold

De Novo Molecule Design Through the Molecular Generative Model Conditioned by 3D Information of Protein Binding Sites

De Novo Molecule Design Through the Molecular Generative Model Conditioned by 3D Information of Protein Binding Sites