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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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Lipid Membrane Structure and Behavior
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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.

2,200 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.
2,200 works in the cohort · of 4,299,418page 1 of 44

Labels cover 3 of 2,200 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 2,200 of 2,200 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.

affunlabeled
The MARTINI Coarse-Grained Force Field: Extension to Proteins
Luca Monticelli, Senthil Kumar Kandasamy, Xavier Périole, Ronald G. Larson, D. Peter Tieleman, ‪Siewert J. Marrink
2008· article· en· Journal of Chemical Theory and Computation· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2,576
citations
affunlabeled
Improved Parameters for the Martini Coarse-Grained Protein Force Field
Djurre H. de Jong, Gurpreet Singh, William F. Bennett, Clément Arnarez, Tsjerk A. Wassenaar, Lars V. Schäfer +3 more
2012· article· en· Journal of Chemical Theory and Computation· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
1,609
citations
afffundunlabeled
Lipid Organization of the Plasma Membrane
Helgi I. Ingólfsson, Manuel N. Melo, Floris J. van Eerden, Clément Arnarez, César A. López, Tsjerk A. Wassenaar +4 more
2014· article· en· Journal of the American Chemical Society· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
967
citations
afffundunlabeled
Computational Modeling of Realistic Cell Membranes
‪Siewert J. Marrink, Valentina Corradi, Paulo C. T. Souza, Helgi I. Ingólfsson, D. Peter Tieleman, Mark S.P. Sansom
2019· review· en· Chemical Reviews· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
738
citations
affno abstractunlabeled
Ordering effects of cholesterol and its analogues
Tomasz Róg, Marta Pasenkiewicz‐Gierula, Ilpo Vattulainen, Mikko Karttunen
2008· review· en· Biochimica et Biophysica Acta (BBA) - Biomembranes· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
603
citations
affunlabeled
What's so special about cholesterol?
Ole G. Mouritsen, Martin J. Zuckermann
2004· review· en· Lipids· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
538
citations
afffundunlabeled
Emerging Diversity in Lipid–Protein Interactions
Valentina Corradi, Besian I. Sejdiu, Haydeé Mesa‐Galloso, Haleh Abdizadeh, Sergei Y. Noskov, ‪Siewert J. Marrink +1 more
2019· review· en· Chemical Reviews· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
505
citations
affunlabeled
Engineering asymmetric vesicles
Sophie Pautot, Barbara J. Frisken, David A. Weitz
2003· article· en· Proceedings of the National Academy of Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
460
citations
affunlabeled
Critical fluctuations in domain-forming lipid mixtures
Sarah L. Veatch, Olivier Soubias, Sarah L. Keller, Klaus Gawrisch
2007· article· en· Proceedings of the National Academy of Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
452
citations
fundno affunlabeled
The styrene–maleic acid copolymer: a versatile tool in membrane research
Jonas M. Dörr, Stefan Scheidelaar, Martijn C. Koorengevel, Juan J. Dominguez, Marre Schäfer, Cornelis A. van Walree +1 more
2015· review· en· European Biophysics Journal· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
416
citations
afffundunlabeled
Methodological Issues in Lipid Bilayer Simulations
Céline Anézo, Alex H. de Vries, Hans‐Dieter Höltje, D. Peter Tieleman, ‪Siewert J. Marrink
2003· article· en· The Journal of Physical Chemistry B· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
367
citations
afffundunlabeled
Solution structure and dynamics of the outer membrane enzyme PagP by NMR
Peter M. Hwang, Wing‐Yiu Choy, Eileen I. Lo, Lu Chen, Julie D. Forman‐Kay, Christian R.H. Raetz +3 more
2002· article· en· Proceedings of the National Academy of Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
329
citations
afffundno abstractunlabeled
Choosing membrane mimetics for NMR structural studies of transmembrane proteins
Dror E. Warschawski, Alexandre A. Arnold, Maïwenn Beaugrand, Andrée E. Gravel, Étienne Chartrand, Isabelle Marcotte
2011· review· en· Biochimica et Biophysica Acta (BBA) - Biomembranes· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
326
citations

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