Generative protein design

Biotechnology & Synthetic BiologyUpdated Aug 20, 2026Version v1

Evidence

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

40 papers

Showing 25-36 of total 40 evidence records.

Open a paper to inspect abstract, source links, and topic context.

2021CrossrefDirectly related20 citations

2021CrossrefDirectly related14 citations

Breakthroughs in computational design methods open up new frontiers for <i>de novo</i> protein engineering

Ben A Meinen; Christopher D Bahl

Feb 15, 2021Protein Engineering, Design and Selection

2020OpenAlexDirectly related72 citations

De Novo Protein Design for Novel Folds Using Guided Conditional Wasserstein Generative Adversarial Networks

Mostafa Karimi; Shaowen Zhu; Yue Cao; Yang Shen

Sep 18, 2020Journal of Chemical Information and Modeling

2020CrossrefSupporting evidence95 citations

Relevant Applications of Generative Adversarial Networks in Drug Design and Discovery: Molecular De Novo Design, Dimensionality Reduction, and De Novo Peptide and Protein Design

Eugene Lin; Chieh-Hsin Lin; Hsien-Yuan Lane

Jul 16, 2020Molecules

2020OpenAlexDirectly related205 citations

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

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

2020OpenAlexSupporting evidence272 citations

Deep Generative Models for 3D Linker Design

Fergus Imrie; A.R. Bradley; Mihaela van der Schaar; Charlotte M. Deane

Mar 20, 2020Journal of Chemical Information and Modeling

2020CrossrefSupporting evidence147 citations

Machine learning techniques for protein function prediction

Rosalin Bonetta; Gianluca Valentino

Mar 1, 2020Proteins: Structure, Function, and Bioinformatics

2020OpenAlexSupporting evidence1,562 citations

Improved protein structure prediction using predicted interresidue orientations

Jianyi Yang; Ivan Anishchenko; Hahnbeom Park; Zhenling Peng; Sergey Ovchinnikov; David Baker

Jan 2, 2020Proceedings of the National Academy of Sciences

2019OpenAlexDirectly related132 citations

EvoEF2: accurate and fast energy function for computational protein design

Xiaoqiang Huang; Robin Pearce; Yang Zhang

Sep 26, 2019Bioinformatics

2019CrossrefDirectly related161 citations

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

David Baker

Apr 1, 2019Protein Science

2019OpenAlexSupporting evidence211 citations

Generative models for graph-based protein design

John Ingraham; Vikas Garg; Regina Barzilay; Tommi Jaakkola

Mar 27, 2019DSpace@MIT (Massachusetts Institute of Technology)

2018OpenAlexSupporting evidence1,159 citations

Deep reinforcement learning for de novo drug design

Mariya Popova; Olexandr Isayev; Alexander Tropsha

Jul 6, 2018Science Advances