Generative protein design — Research Evidence and Topic Memory

Evidence

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

99 papers

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Showing 49-60 of total 99 evidence records.

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2025CrossrefSupporting evidence0 citations

2025OpenAlexSupporting evidence43 citations

Computational and AI‐Driven Design of Hydrogels for Bioelectronic Applications

Rebekah Finster; Prashant Sankaran; Eloïse Bihar

Jan 14, 2025Advanced Electronic Materials

2024OpenAlexSupporting evidence110 citations

A survey of generative AI for <i>de novo</i> drug design: new frontiers in molecule and protein generation

Xiangru Tang; Howard Dai; Elizabeth Knight; Fang Wu; Yunyang Li; Tianxiao Li; Mark Gerstein

May 23, 2024Briefings in Bioinformatics

2024OpenAlexSupporting evidence110 citations

A survey of generative AI for <i>de novo</i> drug design: new frontiers in molecule and protein generation

Xiangru Tang; Howard Dai; Elizabeth Knight; Fang Wu; Yunyang Li; Tianxiao Li; Mark Gerstein

May 23, 2024Briefings in Bioinformatics

2024OpenAlexSupporting evidence16K citations

Accurate structure prediction of biomolecular interactions with AlphaFold 3

Josh Abramson; Jonas Adler; Jack Dunger; Richard Evans; Tim Green; Alexander Pritzel; Olaf Ronneberger; Lindsay Willmore; Andrew J. Ballard; Joshua Bambrick; Sebastian W. Bodenstein; David A. Evans; Chia-Chun Hung; Michael O’Neill; David Reiman; Kathryn Tunyasuvunakool; Zachary Wu; Akvilė Žemgulytė; Eirini Arvaniti; Charles Beattie; Ottavia Bertolli; Alex Bridgland; Alexey V. Cherepanov; Miles Congreve; Alexander I. Cowen-Rivers; Andrew Cowie; Michael Figurnov; Fabian B. Fuchs; Hannah Gladman; Rishub Jain; Yousuf A. Khan; Caroline M. R. Low; Kuba Perlin; Anna Potapenko; Pascal Savy; Sukhdeep Singh; Adrian Stecuła; Ashok Thillaisundaram; Catherine Tong; Sergei Yakneen; Ellen D. Zhong; Michał Zieliński; Augustin Žídek; Victor Bapst; Pushmeet Kohli; Max Jaderberg; Demis Hassabis; John Jumper

May 8, 2024Nature

2023OpenAlexSupporting evidence454 citations

Illuminating protein space with a programmable generative model

John Ingraham; Max Baranov; Zak Costello; Karl W. Barber; Wujie Wang; Ahmed Ismail; Vincent Frappier; Dana M. Lord; Christopher Ng‐Thow‐Hing; Erik R. Van Vlack; Shan Tie; Vincent Xue; Sarah C. Cowles; Alan Leung; João V. Rodrigues; Claudio L. Morales-Pérez; Alex Ayoub; Robin Green; Katherine Puentes; Frank Oplinger; Nishant V. Panwar; Fritz Obermeyer; Adam Root; Andrew L. Beam; Frank J. Poelwijk; Gevorg Grigoryan

Nov 15, 2023Nature

2023OpenAlexSupporting evidence2,225 citations

De novo design of protein structure and function with RFdiffusion

Joseph L. Watson; David Juergens; Nathaniel R. Bennett; Brian L. Trippe; Jason Yim; Helen E. Eisenach; Woody Ahern; Andrew J. Borst; Robert J. Ragotte; Lukas F. Milles; Basile I. M. Wicky; Nikita Hanikel; Samuel J. Pellock; Alexis Courbet; William Sheffler; Jue Wang; Preetham Venkatesh; Isaac Sappington; Susana Vázquez Torres; Anna Lauko; Valentin De Bortoli; Émile Mathieu; Sergey Ovchinnikov; Regina Barzilay; Tommi Jaakkola; Frank DiMaio; Minkyung Baek; David Baker

Jul 11, 2023Nature

2023OpenAlexSupporting evidence2,225 citations

De novo design of protein structure and function with RFdiffusion

Jul 11, 2023Nature

2023OpenAlexSupporting evidence91 citations

De novo protein design by inversion of the <scp>AlphaFold</scp> structure prediction network

Casper A. Goverde; Benedict Wolf; Hamed Khakzad; Stéphane Rosset; Bruno E. Correia

May 11, 2023Protein Science

2023OpenAlexSupporting evidence91 citations

De novo protein design by inversion of the <scp>AlphaFold</scp> structure prediction network

Casper A. Goverde; Benedict Wolf; Hamed Khakzad; Stéphane Rosset; Bruno E. Correia

May 11, 2023Protein Science

2023OpenAlexSupporting evidence368 citations

Improving de novo protein binder design with deep learning

Nathaniel R. Bennett; Brian Coventry; Inna Goreshnik; Buwei Huang; Aza Allen; Dionne Vafeados; Ying Po Peng; Justas Dauparas; Minkyung Baek; Lance Stewart; Frank DiMaio; Steven De Munck; Savvas N. Savvides; David Baker

May 6, 2023Nature Communications

2023OpenAlexSupporting evidence368 citations

Improving de novo protein binder design with deep learning

May 6, 2023Nature Communications

Evidence

Deep learning-based integrated framework for protein structure prediction and functional annotation

Computational and AI‐Driven Design of Hydrogels for Bioelectronic Applications

A survey of generative AI for <i>de novo</i> drug design: new frontiers in molecule and protein generation

A survey of generative AI for <i>de novo</i> drug design: new frontiers in molecule and protein generation

Accurate structure prediction of biomolecular interactions with AlphaFold 3

Illuminating protein space with a programmable generative model

De novo design of protein structure and function with RFdiffusion

De novo design of protein structure and function with RFdiffusion

De novo protein design by inversion of the <scp>AlphaFold</scp> structure prediction network

De novo protein design by inversion of the <scp>AlphaFold</scp> structure prediction network

Improving de novo protein binder design with deep learning

Improving de novo protein binder design with deep learning