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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.

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Antimicrobial Peptides and Activities
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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.

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

1,541 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,541 works in the cohort · of 4,299,418page 19 of 31

Labels cover 1 of 1,541 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 1,541 of 1,541 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.

affno abstractunlabeled
The role of defensins in virus-induced asthma
David Proud
2006· review· en· Current Allergy and Asthma Reports· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
17
citations
affno abstractunlabeled
Microbial Killing: Oxidants, Proteases and Ions
Rene E. Harrison, Nicolas Touret, Sergio Grinstein
2002· article· en· Current Biology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
17
citations
venueno affunlabeled
Biocidal activity of chicken defensin-9 against microbial pathogens
Haitham A. Yacoub, Salem M. El-Hamidy, Maged Mostafa Mahmoud, Mohamed N. Baeshen, Hussein A. Almehdar, Vladimir N. Uversky +3 more
2015· article· en· Biochemistry and Cell Biology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Hypothesis driven development of new adjuvants
Jessica C. Dong, Gary Kobinger
2013· review· en· Human Vaccines & Immunotherapeutics· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Revisiting Peptide Amphiphilicity for Membrane Pore Formation
Aurélien Lorin, Mathieu Noël, Marie-Ève Provencher, Vanessa Turcotte, Carole Masson, Sébastien Cardinal +3 more
2011· article· en· Biochemistry· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
16
citations
afffundno abstractunlabeled
Computer-Aided Design of Antimicrobial Peptides
Christopher D. Fjell, Robert E. W. Hancock, Håvard Jenssen
2010· article· en· Current Pharmaceutical Analysis· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Amphiphilic Tobramycins with Immunomodulatory Properties
Goutam Guchhait, Anthony Altieri, Balakishan Gorityala, Xuan Yang, Brandon Findlay, George G. Zhanel +2 more
2015· article· en· Angewandte Chemie· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Deep Learning in Antimicrobial Peptide Prediction
Changhang Lin, Shuwen Xiong, Feifei Cui, Zilong Zhang, Hua Shi, Leyi Wei
2025· review· en· Journal of Chemical Information and Modeling· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
15
citations

How this was built: Screen · Findings · About