Integrated Machine Learning and Molecular Simulation-Guided Discovery of Novel Small-Molecule PD-L1 Inhibitors
- DOI
- 10.3390/ph19091439
- Published
- 2026-09-11
- Container
- Pharmaceuticals
- Publisher
- MDPI AG
- 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.
- supportingDOI resolves: A matching record was returned by Crossref.
- 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.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- 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.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.3390/ph19091439,
title = {Integrated Machine Learning and Molecular Simulation-Guided Discovery of Novel Small-Molecule PD-L1 Inhibitors},
author = {Mengjie Rui and Wenyan Liang and Kexin Chu and Jiukun Yuan and Ruojing Yang and Hangyu Dong and Chunlai Feng},
year = {2026},
journal = {Pharmaceuticals},
doi = {10.3390/ph19091439},
url = {https://doi.org/10.3390/ph19091439}
}RIS
TY - JOUR TI - Integrated Machine Learning and Molecular Simulation-Guided Discovery of Novel Small-Molecule PD-L1 Inhibitors AU - Mengjie Rui AU - Wenyan Liang AU - Kexin Chu AU - Jiukun Yuan AU - Ruojing Yang AU - Hangyu Dong AU - Chunlai Feng PY - 2026 JO - Pharmaceuticals DO - 10.3390/ph19091439 UR - https://doi.org/10.3390/ph19091439 ER -
APA
Rui, M., Liang, W., Chu, K., Yuan, J., Yang, R., Dong, H., & Feng, C. (2026). Integrated Machine Learning and Molecular Simulation-Guided Discovery of Novel Small-Molecule PD-L1 Inhibitors. Pharmaceuticals. https://doi.org/10.3390/ph19091439
Source records
- crossref · retrieved 2026-09-26T14:04:42.587Z