AlphaDesign: a de novo protein design framework based on AlphaFold

De novo protein design is of fundamental interest to synthetic biology, with a plethora of computational methods of various degrees of generality developed in recent years. Here, we introduce AlphaDesign, a hallucination-based computational framework for de novo protein design developed with maximum generality and usability in mind, which combines AlphaFold with autoregressive diffusion models to enable rapid generation and computational validation of proteins with controllable interactions, conformations and oligomeric state without the requirement for class-dependent model re-training or fine-tuning. We apply our framework to design and systematically validate in vivo active inhibitors of a family of bacterial phage defense systems with toxic effectors called retrons, paving the way towards efficient, rational design of novel proteins as biologics.

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Publication Details

Journal
Molecular Systems Biology
Published
2025-06-17
DOI
https://doi.org/10.1038/s44320-025-00119-z
Citations
18
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
12.90

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article

AlphaDesign: a de novo protein design framework based on AlphaFold

Kristian Schweimer, Carlos Geert Pieter Voogdt, Karine Lapouge, S. Kashif Sadiq et al.
18 citations
Molecular Systems Biology
Protein Structure and Dynamics
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article

AlphaDesign: a de novo protein design framework based on AlphaFold

Kristian Schweimer, Carlos Geert Pieter Voogdt, Karine Lapouge, S. Kashif Sadiq, Michael Jendrusch, Athanasios Typas, Elisabetta Cacace, Janosch Hennig, Cecilia Perez-Borrajero, Jacob Bobonis, Kim Remans, Sarah Kaspar, Jan O. Korbel, Alessio Ling Jie Yang, Jacob Scheurich
article en
18 citations

Abstract

De novo protein design is of fundamental interest to synthetic biology, with a plethora of computational methods of various degrees of generality developed in recent years. Here, we introduce AlphaDesign, a hallucination-based computational framework for de novo protein design developed with maximum generality and usability in mind, which combines AlphaFold with autoregressive diffusion models to enable rapid generation and computational validation of proteins with controllable interactions, conformations and oligomeric state without the requirement for class-dependent model re-training or fine-tuning. We apply our framework to design and systematically validate in vivo active inhibitors of a family of bacterial phage defense systems with toxic effectors called retrons, paving the way towards efficient, rational design of novel proteins as biologics.

Molecular Systems BiologyVol. 21(9)
University of Vienna (AT), European Molecular Biology Organization (DE), Heidelberg University (DE), ETH Zurich (CH), Protein Express (United States) (US), Denka (Japan) (JP), European Molecular Biology Laboratory (DE), European Molecular Biology Laboratory (DE), University of Bayreuth (DE)
Volkswagen Foundation, Bundesministerium für Bildung und Forschung, HORIZON EUROPE Marie Sklodowska-Curie Actions
Openalex Percentile: Top 1%
Protein Structure and Dynamics
12.90
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