Accurate 3D Structure Prediction of Small Cyclic Peptides Containing Non-Canonical Amino Acid Residues Using an All-Atom Diffusion Model with Stereogenic Implementation
- DOI
- 10.1021/acs.jcim.5c03236
- Published
- 2026-04-10
- Container
- Journal of Chemical Information and Modeling
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.jcim.5c03236,
title = {Accurate 3D Structure Prediction of Small Cyclic Peptides Containing Non-Canonical Amino Acid Residues Using an All-Atom Diffusion Model with Stereogenic Implementation},
author = {Dizhou Wu and Yike Zou},
year = {2026},
journal = {Journal of Chemical Information and Modeling},
doi = {10.1021/acs.jcim.5c03236},
url = {https://doi.org/10.1021/acs.jcim.5c03236}
}RIS
TY - JOUR TI - Accurate 3D Structure Prediction of Small Cyclic Peptides Containing Non-Canonical Amino Acid Residues Using an All-Atom Diffusion Model with Stereogenic Implementation AU - Dizhou Wu AU - Yike Zou PY - 2026 JO - Journal of Chemical Information and Modeling DO - 10.1021/acs.jcim.5c03236 UR - https://doi.org/10.1021/acs.jcim.5c03236 ER -
APA
Wu, D., & Zou, Y. (2026). Accurate 3D Structure Prediction of Small Cyclic Peptides Containing Non-Canonical Amino Acid Residues Using an All-Atom Diffusion Model with Stereogenic Implementation. Journal of Chemical Information and Modeling. https://doi.org/10.1021/acs.jcim.5c03236
Source records
- crossref · retrieved 2026-09-25T15:02:24.364Z