Evidence map›Paper›PMID 41145427›Full record

ArticleNature communications2025

Barcode-free hit discovery from massive libraries enabled by automated small molecule structure annotation.

Edith van der Nol, Nils Alexander Haupt, Qing Qing Gao, Benthe A M Smit, Martin Andre Hoffmann, Martin Engler-Lukajewski, Marcus Ludwig, Sean McKenna, J Miguel Mata, Olivier J M Béquignon and 5 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Edith van der Nol *LACDR, Leiden University, Leiden, The Netherlands.
Nils Alexander Haupt *Chair for Bioinformatics, Institute for Computer Science, Friedrich Schiller University Jena, Jena, Germany.ORCID http://orcid.org/0009-0001-2280-5286
Qing Qing GaoLACDR, Leiden University, Leiden, The Netherlands.
Benthe A M SmitLACDR, Leiden University, Leiden, The Netherlands.ORCID http://orcid.org/0009-0007-7459-8841
Martin Andre HoffmannBright Giant GmbH, Hans-Knöll-Straße 6, Jena, Germany.
Martin Engler-LukajewskiBright Giant GmbH, Hans-Knöll-Straße 6, Jena, Germany.ORCID http://orcid.org/0000-0002-2200-9722
Marcus LudwigBright Giant GmbH, Hans-Knöll-Straße 6, Jena, Germany.ORCID http://orcid.org/0000-0001-9981-2153
Sean McKennaLACDR, Leiden University, Leiden, The Netherlands.ORCID http://orcid.org/0000-0001-9197-5089
J Miguel MataLACDR, Leiden University, Leiden, The Netherlands.ORCID http://orcid.org/0000-0002-9884-0184
Olivier J M BéquignonLACDR, Leiden University, Leiden, The Netherlands.
Gerard van WestenLACDR, Leiden University, Leiden, The Netherlands.ORCID http://orcid.org/0000-0003-0717-1817
Tiemen J WendelOncode Institute, Utrecht, The Netherlands.ORCID http://orcid.org/0009-0006-1434-2396
Sylvie M NoordermeerOncode Institute, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0003-2737-9690
Sebastian BöckerChair for Bioinformatics, Institute for Computer Science, Friedrich Schiller University Jena, Jena, Germany. sebastian.boecker@uni-jena.de.ORCID http://orcid.org/0000-0002-9304-8091
Sebastian PomplunLACDR, Leiden University, Leiden, The Netherlands. s.j.pomplun@lacdr.leidenuniv.nl.ORCID http://orcid.org/0000-0003-0905-8551

Funding

EC | European Regional Development Fund (Europski Fond za Regionalni Razvoj) VFE 0003EC | European Regional Development Fund (Europski Fond za Regionalni Razvoj) VFE 0029EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 101039354
6 · The paper itself

Abstract

Affinity-selection platforms are powerful tools in early drug discovery, but current technologies - most notably DNA-encoded libraries (DELs) - are limited by synthesis complexity and incompatibility with nucleic acid-binding targets. We present a barcode-free self-encoded library (SEL) platform that enables direct screening of over half a million small molecules in a single experiment. SELs combine tandem mass spectrometry with custom software for automated structure annotation, eliminating the need for external tags for the identification of screening hits. We develop efficient, high-diversity synthesis protocols for a broad range of chemical scaffolds and benchmark the platform in affinity selections against carbonic anhydrase IX, identifying multiple nanomolar binders. We further apply SELs to flap endonuclease 1 (FEN1) - a disease related DNA-processing enzyme inaccessible to DELs - and discover potent inhibitors. Taken together, screening barcode-free libraries of this scale all at once represents an important development, enables access to novel target classes, and promises substantial impact on both academic and industrial early drug discovery.

Indexed as

Drug DiscoverySmall Molecule LibrariesCarbonic Anhydrase IXHumansSoftwareTandem Mass SpectrometryCarbonic Anhydrase IXSmall Molecule Libraries

Identifiers

PMID41145427
PMCPMC12559350

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.