A deep learning framework for oligopeptide candidate discovery across metabolism-related contexts.

Xiao B, Zhu H, Ma C, Wang X, Feng Z, Lang R, Shan H, Meng Z, He R, Zhou Y, Huang J, Wei S, Liu D, Liu J, Shi Z, Tang X, Wang J, Liu C, Wang L, Cheung M, Li Z, Zhang YB

Open source

DOI: 10.1016/j.crmeth.2026.101577
Published: 2026 Sep 4
Container: Cell reports methods
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.crmeth.2026.101577,
  title = {A deep learning framework for oligopeptide candidate discovery across metabolism-related contexts.},
  author = {Xiao B and Zhu H and Ma C and Wang X and Feng Z and Lang R and Shan H and Meng Z and He R and Zhou Y and Huang J and Wei S and Liu D and Liu J and Shi Z and Tang X and Wang J and Liu C and Wang L and Cheung M and Li Z and Zhang YB},
  year = {2026},
  journal = {Cell reports methods},
  doi = {10.1016/j.crmeth.2026.101577},
  url = {https://doi.org/10.1016/j.crmeth.2026.101577}
}

RIS

TY  - JOUR
TI  - A deep learning framework for oligopeptide candidate discovery across metabolism-related contexts.
AU  - Xiao B
AU  - Zhu H
AU  - Ma C
AU  - Wang X
AU  - Feng Z
AU  - Lang R
AU  - Shan H
AU  - Meng Z
AU  - He R
AU  - Zhou Y
AU  - Huang J
AU  - Wei S
AU  - Liu D
AU  - Liu J
AU  - Shi Z
AU  - Tang X
AU  - Wang J
AU  - Liu C
AU  - Wang L
AU  - Cheung M
AU  - Li Z
AU  - Zhang YB
PY  - 2026
JO  - Cell reports methods
DO  - 10.1016/j.crmeth.2026.101577
UR  - https://doi.org/10.1016/j.crmeth.2026.101577
ER  -

APA

B, X., H, Z., C, M., X, W., Z, F., R, L., H, S., Z, M., R, H., Y, Z., J, H., S, W., D, L., J, L., Z, S., X, T., J, W., C, L., L, W., M, C., Z, L., & YB, Z. (2026). A deep learning framework for oligopeptide candidate discovery across metabolism-related contexts.. Cell reports methods. https://doi.org/10.1016/j.crmeth.2026.101577

Source records

pubmed · retrieved 2026-09-25T04:16:52.477Z