DEEPSMP: A deep learning model for predicting the ectodomain shedding events of membrane proteins.

Cao Z, Du W, Li G, Cao H

DOI: 10.1142/s0219720020500171
Published: 2020 Jun
Container: Journal of bioinformatics and computational biology
Publisher: Not recorded
Open access: no

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:10.1142/s0219720020500171,
  title = {DEEPSMP: A deep learning model for predicting the ectodomain shedding events of membrane proteins.},
  author = {Cao Z and Du W and Li G and Cao H},
  year = {2020},
  journal = {Journal of bioinformatics and computational biology},
  doi = {10.1142/s0219720020500171},
  url = {https://doi.org/10.1142/s0219720020500171}
}

RIS

TY  - JOUR
TI  - DEEPSMP: A deep learning model for predicting the ectodomain shedding events of membrane proteins.
AU  - Cao Z
AU  - Du W
AU  - Li G
AU  - Cao H
PY  - 2020
JO  - Journal of bioinformatics and computational biology
DO  - 10.1142/s0219720020500171
UR  - https://doi.org/10.1142/s0219720020500171
ER  -

APA

Z, C., W, D., G, L., & H, C. (2020). DEEPSMP: A deep learning model for predicting the ectodomain shedding events of membrane proteins.. Journal of bioinformatics and computational biology. https://doi.org/10.1142/s0219720020500171

Source records

pubmed · retrieved 2026-09-25T19:29:04.803Z
europe-pmc · retrieved 2026-09-25T19:29:04.823Z