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Generative protein design

Biotechnology & Synthetic BiologyUpdated Oct 5, 2026Version v1

Knowledge Timeline Gaps (1)Evidence (149)Community (0)

Evidence

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

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Showing 73-84 of total 99 evidence records.

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2021CrossrefSupporting evidence14 citations

Protein structure search to support the development of protein structure prediction methods

Ronald Ayoub; Yugyung Lee

Jun 1, 2021Proteins: Structure, Function, and Bioinformatics

2021OpenAlexSupporting evidence964 citations

Structure-based protein function prediction using graph convolutional networks

Vladimir Gligorijević; P. Douglas Renfrew; Tomasz Kościółek; Julia Koehler Leman; Daniel Berenberg; Tommi Vatanen; Chris Chandler; Bryn C. Taylor; I. Fisk; Hera Vlamakis; Ramnik J. Xavier; Rob Knight; Kyunghyun Cho; Richard Bonneau

May 26, 2021Nature Communications

2020CrossrefSupporting evidence98 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

2020CrossrefSupporting evidence98 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

2020OpenAlexSupporting evidence282 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

2020OpenAlexSupporting evidence282 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 evidence154 citations

Machine learning techniques for protein function prediction

Rosalin Bonetta; Gianluca Valentino

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

2020CrossrefSupporting evidence154 citations

Machine learning techniques for protein function prediction

Rosalin Bonetta; Gianluca Valentino

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

2020OpenAlexSupporting evidence1,585 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

2020OpenAlexSupporting evidence1,585 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

2019OpenAlexSupporting evidence517 citations

DeepGOPlus: improved protein function prediction from sequence

Maxat Kulmanov; Robert Hoehndorf

Jul 24, 2019Bioinformatics

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)

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Generative protein design — Research Evidence and Topic Memory | Kritoma