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.

96 papers

Showing 73-84 of total 96 evidence records.

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2020OpenAlexDirectly related

Fabian Sesterhenn; Che Yang; Jaume Bonet; Johannes Cramer; Xiaolin Wen; Yimeng Wang; Chi-I Chiang; Luciano A. Abriata; Iga Kucharska; Giacomo Castoro; Sabrina S. Vollers; Marie Galloux; Elie Dheilly; Stéphane Rosset; Patricia Corthésy; Sandrine Georgeon; Mélanie Villard; Charles-Adrien Richard; Delphyne Descamps; Teresa Delgado; Elisa Oricchio; Marie‐Anne Rameix‐Welti; Vicente Más; Sean Ervin; Jean‐François Eléouët; Sabine Riffault; John T. Bates; Jean‐Philippe Julien; Yuxing Li; Theodore S. Jardetzky; Thomas Krey; Bruno E. Correia

May 14, 2020Science

2020OpenAlexDirectly related258 citations

De novo protein design, a retrospective

Ivan V. Korendovych; William F. DeGrado

Jan 1, 2020Quarterly Reviews of Biophysics

2019OpenAlexDirectly related132 citations

EvoEF2: accurate and fast energy function for computational protein design

Xiaoqiang Huang; Robin Pearce; Yang Zhang

Sep 26, 2019Bioinformatics

2019OpenAlexDirectly related132 citations

EvoEF2: accurate and fast energy function for computational protein design

Xiaoqiang Huang; Robin Pearce; Yang Zhang

Sep 26, 2019Bioinformatics

2019CrossrefDirectly related176 citations

What has de novo protein design taught us about protein folding and biophysics?

David Baker

Apr 1, 2019Protein Science

2019CrossrefDirectly related176 citations

What has de novo protein design taught us about protein folding and biophysics?

David Baker

Apr 1, 2019Protein Science

2018OpenAlexSupporting evidence2,196 citations

Inverse molecular design using machine learning: Generative models for matter engineering

Benjamín Sánchez-Lengeling; Alán Aspuru‐Guzik

Jul 26, 2018Science

2018OpenAlexDirectly related181 citations

Computational Protein Design with Deep Learning Neural Networks

Jingxue Wang; Huali Cao; John Z. H. Zhang; Yifei Qi

Apr 16, 2018Scientific Reports

2018OpenAlexDirectly related181 citations

Computational Protein Design with Deep Learning Neural Networks

Jingxue Wang; Huali Cao; John Z. H. Zhang; Yifei Qi

Apr 16, 2018Scientific Reports

2017OpenAlexDirectly related74 citations

Rosetta:MSF: a modular framework for multi-state computational protein design

Patrick Löffler; Samuel Schmitz; Enrico Hupfeld; Reinhard Sterner; Rainer Merkl

Jun 12, 2017PLoS Computational Biology

2017OpenAlexDirectly related74 citations

Rosetta:MSF: a modular framework for multi-state computational protein design

Patrick Löffler; Samuel Schmitz; Enrico Hupfeld; Reinhard Sterner; Rainer Merkl

Jun 12, 2017PLoS Computational Biology

2017OpenAlexDirectly related239 citations

Insights from molecular dynamics simulations for computational protein design

Matthew C. Childers; Valerie Daggett

Jan 1, 2017Molecular Systems Design & Engineering

Evidence

De novo protein design enables the precise induction of RSV-neutralizing antibodies

De novo protein design, a retrospective

EvoEF2: accurate and fast energy function for computational protein design

EvoEF2: accurate and fast energy function for computational protein design

What has de novo protein design taught us about protein folding and biophysics?

What has de novo protein design taught us about protein folding and biophysics?

Inverse molecular design using machine learning: Generative models for matter engineering

Computational Protein Design with Deep Learning Neural Networks

Computational Protein Design with Deep Learning Neural Networks

Rosetta:MSF: a modular framework for multi-state computational protein design

Rosetta:MSF: a modular framework for multi-state computational protein design

Insights from molecular dynamics simulations for computational protein design