Applying Deep-Learning-Driven <i>De Novo</i> Design to Hit Identification: A Case Study on A <sub>2A</sub> Adenosine Receptor Antagonists
- DOI
- 10.1021/acs.jmedchem.6c00231
- Published
- 2026-06-19
- Container
- Journal of Medicinal Chemistry
- Publisher
- American Chemical Society (ACS)
- 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:10.1021/acs.jmedchem.6c00231,
title = {Applying Deep-Learning-Driven
<i>De Novo</i>
Design to Hit Identification: A Case Study on A
<sub>2A</sub>
Adenosine Receptor Antagonists},
author = {Margherita Persico and Alessandra Micoli and Veronica Salmaso and Agostino Cianciulli and Stefano Moro and Giampiero Spalluto and Michela Buccioni and Gabriella Marucci and Rosaria Volpini and Alfonso Pozzan and Fabrizio Micheli and Stephanie Federico},
year = {2026},
journal = {Journal of Medicinal Chemistry},
doi = {10.1021/acs.jmedchem.6c00231},
url = {https://doi.org/10.1021/acs.jmedchem.6c00231}
}RIS
TY - JOUR
TI - Applying Deep-Learning-Driven
<i>De Novo</i>
Design to Hit Identification: A Case Study on A
<sub>2A</sub>
Adenosine Receptor Antagonists
AU - Margherita Persico
AU - Alessandra Micoli
AU - Veronica Salmaso
AU - Agostino Cianciulli
AU - Stefano Moro
AU - Giampiero Spalluto
AU - Michela Buccioni
AU - Gabriella Marucci
AU - Rosaria Volpini
AU - Alfonso Pozzan
AU - Fabrizio Micheli
AU - Stephanie Federico
PY - 2026
JO - Journal of Medicinal Chemistry
DO - 10.1021/acs.jmedchem.6c00231
UR - https://doi.org/10.1021/acs.jmedchem.6c00231
ER - APA
Persico, M., Micoli, A., Salmaso, V., Cianciulli, A., Moro, S., Spalluto, G., Buccioni, M., Marucci, G., Volpini, R., Pozzan, A., Micheli, F., & Federico, S. (2026). Applying Deep-Learning-Driven <i>De Novo</i> Design to Hit Identification: A Case Study on A <sub>2A</sub> Adenosine Receptor Antagonists. Journal of Medicinal Chemistry. https://doi.org/10.1021/acs.jmedchem.6c00231
Source records
- crossref · retrieved 2026-09-27T00:45:52.415Z