Void-X: A generative void-filling model for predicting atomic packing in proteins.
- DOI
- 10.1073/pnas.2607035123
- Published
- 2026 Jun 16
- Container
- Proceedings of the National Academy of Sciences of the United States of America
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1073/pnas.2607035123,
title = {Void-X: A generative void-filling model for predicting atomic packing in proteins.},
author = {Yang J and Yuan J and Chou JJ},
year = {2026},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
doi = {10.1073/pnas.2607035123},
url = {https://doi.org/10.1073/pnas.2607035123}
}RIS
TY - JOUR TI - Void-X: A generative void-filling model for predicting atomic packing in proteins. AU - Yang J AU - Yuan J AU - Chou JJ PY - 2026 JO - Proceedings of the National Academy of Sciences of the United States of America DO - 10.1073/pnas.2607035123 UR - https://doi.org/10.1073/pnas.2607035123 ER -
APA
J, Y., J, Y., & JJ, C. (2026). Void-X: A generative void-filling model for predicting atomic packing in proteins.. Proceedings of the National Academy of Sciences of the United States of America. https://doi.org/10.1073/pnas.2607035123
Source records
- pubmed · retrieved 2026-11-10T11:03:28.957Z