GNINA 1.3: the next increment in molecular docking with deep learning

Andrew T. McNutt, Yanjing Li, Rocco Meli, Rishal Aggarwal, David Ryan Koes

Open source

DOI: 10.1186/s13321-025-00973-x
Published: 2025-03-02
Container: Journal of Cheminformatics
Publisher: Springer Science and Business Media LLC
Open access: unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

supportingDOI registered: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. 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
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1186/s13321-025-00973-x,
  title = {GNINA 1.3: the next increment in molecular docking with deep learning},
  author = {Andrew T. McNutt and Yanjing Li and Rocco Meli and Rishal Aggarwal and David Ryan Koes},
  year = {2025},
  journal = {Journal of Cheminformatics},
  doi = {10.1186/s13321-025-00973-x},
  url = {https://doi.org/10.1186/s13321-025-00973-x}
}

RIS

TY  - JOUR
TI  - GNINA 1.3: the next increment in molecular docking with deep learning
AU  - Andrew T. McNutt
AU  - Yanjing Li
AU  - Rocco Meli
AU  - Rishal Aggarwal
AU  - David Ryan Koes
PY  - 2025
JO  - Journal of Cheminformatics
DO  - 10.1186/s13321-025-00973-x
UR  - https://doi.org/10.1186/s13321-025-00973-x
ER  -

APA

McNutt, A. T., Li, Y., Meli, R., Aggarwal, R., & Koes, D. R. (2025). GNINA 1.3: the next increment in molecular docking with deep learning. Journal of Cheminformatics. https://doi.org/10.1186/s13321-025-00973-x

Source records

crossref · retrieved 2026-09-26T14:36:35.862Z