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ZENODO
Model . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Model . 2025
License: CC BY
Data sources: Datacite
ZENODO
Model . 2025
License: CC BY
Data sources: Datacite
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Claim

An improved model for prediction of de novo designed proteins with diverse geometries

appsOther research productkeyboard_double_arrow_right Model 03 Jun 2025Embargo end date: 02 Jun 2025 English Publisher:Zenodo
Authors: Orr, Benjamin;

doi: 10.5281/zenodo.15580791 , 10.5281/zenodo.15580792

An improved model for prediction of de novo designed proteins with diverse geometries

Abstract

Fine-tuned AF2 models for "Benjamin Orr*, Stephanie E. Crilly*, Deniz Akpinaroglu, Eleanor Zhu, Michael J. Keiser, Tanja Kortemme. An improved model for prediction of de novo designed proteins with diverse geometries."

Related Organizations
Keywords

Protein Design, FOS: Computer and information sciences, Bioinformatics, Bioengineering/methods, Protein Structure Prediction

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average