Machine learning-based peptide material design strategies to enhance tumor targeting and therapy.

Chen H, Zhang H, Xiang Y, Nie X, Hu Q, Gao C

DOI: 10.1016/j.bioadv.2026.215097
Published: 2026 Dec
Container: Biomaterials advances
Publisher: Not recorded
Open access: unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1016/j.bioadv.2026.215097,
  title = {Machine learning-based peptide material design strategies to enhance tumor targeting and therapy.},
  author = {Chen H and Zhang H and Xiang Y and Nie X and Hu Q and Gao C},
  year = {2026},
  journal = {Biomaterials advances},
  doi = {10.1016/j.bioadv.2026.215097},
  url = {https://doi.org/10.1016/j.bioadv.2026.215097}
}

RIS

TY  - JOUR
TI  - Machine learning-based peptide material design strategies to enhance tumor targeting and therapy.
AU  - Chen H
AU  - Zhang H
AU  - Xiang Y
AU  - Nie X
AU  - Hu Q
AU  - Gao C
PY  - 2026
JO  - Biomaterials advances
DO  - 10.1016/j.bioadv.2026.215097
UR  - https://doi.org/10.1016/j.bioadv.2026.215097
ER  -

APA

H, C., H, Z., Y, X., X, N., Q, H., & C, G. (2026). Machine learning-based peptide material design strategies to enhance tumor targeting and therapy.. Biomaterials advances. https://doi.org/10.1016/j.bioadv.2026.215097

Source records

pubmed · retrieved 2026-09-26T09:51:38.513Z