Description
Data generated by TDVAE and TGVAE models and used in manuscript "Dirichlet latent modelling enables effective learning and sampling of the functional protein design space". Contains raw input data, R scripts to process data and output figures used in the main text and supplementary materials of the manuscripts, as well as two supplementary tables in xlsx format.
| Date made available | 31 Aug 2024 |
|---|---|
| Publisher | Zenodo |
Research output
- 1 Article
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Dirichlet latent modelling enables effective learning and sampling of the functional protein design space
Lobzaev, E. & Stracquadanio, G., 29 Oct 2024, In: Nature Communications. 15, 1, 11 p., 9309.Research output: Contribution to journal › Article › peer-review
Open AccessFile
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GREET: Generative Recombinant Enzyme Engineering for Therapeutics
Stracquadanio, G. (Principal Investigator) & Rosser, S. (Co-investigator)
Engineering and Physical Sciences Research Council
1/01/22 → 30/06/26
Project: Research
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IDERT: Intelligent Deimmunization for Enzyme Replacement Therapies
Stracquadanio, G. (Principal Investigator), Miller-Hodges, E. (Co-investigator) & Rosser, S. (Co-investigator)
Engineering and Physical Sciences Research Council
1/10/23 → 31/03/25
Project: Research
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