MétaCan
Menu
Cohort builder

4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Topic
Computational Drug Discovery Methods
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

2,238 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
2,238 works in the cohort · of 4,299,418page 2 of 45

Labels cover 4 of 2,238 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 2,238 of 2,238 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

afffundunlabeled
The Blood–Brain Barrier (BBB) Score
Mayuri Gupta, Hyeok Jun Lee, Christopher Barden, Donald F. Weaver
2019· article· en· Journal of Medicinal Chemistry· Computer Science
machine prediction:candidate · noneconsensus · none
326
citations
afffundno abstractunlabeled
Machine learning directed drug formulation development
Pauric Bannigan, Matteo Aldeghi, Zeqing Bao, Florian Häse, Alán Aspuru‐Guzik, Christine Allen
2021· review· en· Advanced Drug Delivery Reviews· Computer Science
machine prediction:candidate · noneconsensus · none
305
citations
affno abstractunlabeled
Rational drug design
Meenal Moudgil, Sanat K. Mandal
2009· review· en· European Journal of Pharmacology· Computer Science
machine prediction:candidate · noneconsensus · none
293
citations
affunlabeled
Deep generative molecular design reshapes drug discovery
Xiangxiang Zeng, Fei Wang, Yuan Luo, Seung-Gu Kang, Jian Tang, Felice C. Lightstone +4 more
2022· review· en· Cell Reports Medicine· Computer Science
machine prediction:candidate · noneconsensus · none
282
citations
affunlabeled
Adverse outcome pathway networks I: Development and applications
Dries Knapen, Michelle Angrish, Marie Fortin, Ioanna Katsiadaki, Marc Léonard, Luigi Margiotta‐Casaluci +6 more
2018· article· en· Environmental Toxicology and Chemistry· Computer Science
machine prediction:candidate · noneconsensus · none
235
citations
affno abstractunlabeled
The SAMPL2 blind prediction challenge: introduction and overview
Matthew T. Geballe, A. Geoffrey Skillman, Anthony Nicholls, J. Peter Guthrie, Peter J. Taylor
2010· article· en· Journal of Computer-Aided Molecular Design· Computer Science
machine prediction:candidate · metaresearchconsensus · none
211
citations
affunlabeled
Flexible Alignment of Small Molecules
Paul Labute, Chris Williams, Miklós Fehér, Elizabeth Sourial, Jonathan M. Schmidt
2001· article· en· Journal of Medicinal Chemistry· Computer Science
machine prediction:candidate · noneconsensus · none
193
citations
afffundno abstractunlabeled
Machine learning in preclinical drug discovery
Denise B. Catacutan, Jeremie Alexander, Autumn Arnold, J Stokes
2024· review· en· Nature Chemical Biology· Computer Science
machine prediction:candidate · noneconsensus · none
175
citations
afffundunlabeled
The Atlas of Inflammation Resolution (AIR)
Charles N. Serhan, Shailendra K. Gupta, Mauro Perretti, Catherine Godson, Eoin Brennan, Yongsheng Li +24 more
2020· review· en· Molecular Aspects of Medicine· Computer Science
machine prediction:candidate · noneconsensus · none
170
citations

How this was built: Screen · Findings · About