Evidence map›Paper›PMID 42427001›Full record

ArticleJournal of the American Chemical Society2026

Automated Parallel Synthesis Accelerates Virtual Screening Hit Discovery.

Sean M McKenna, Martin Šícho, Cas van der Horst, Jesse Maasland, Edith van der Nol, Gianluca Turco, Andrius Bernatavicius, Gerard J P van Westen, Laura H Heitman, Sebastian J Pomplun

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Sean M McKennaLeiden Academic Centre for Drug Research, Leiden University, 2333 CC Leiden, The Netherlands.
Martin ŠíchoLeiden Academic Centre for Drug Research, Leiden University, 2333 CC Leiden, The Netherlands.ORCID 0000-0002-8771-1731
Cas van der HorstLeiden Academic Centre for Drug Research, Leiden University, 2333 CC Leiden, The Netherlands.
Jesse MaaslandLeiden Academic Centre for Drug Research, Leiden University, 2333 CC Leiden, The Netherlands.
Edith van der NolLeiden Academic Centre for Drug Research, Leiden University, 2333 CC Leiden, The Netherlands.ORCID 0000-0002-0597-8185
Gianluca TurcoLeiden Academic Centre for Drug Research, Leiden University, 2333 CC Leiden, The Netherlands.
Andrius BernataviciusLeiden Academic Centre for Drug Research, Leiden University, 2333 CC Leiden, The Netherlands.
Gerard J P van WestenLeiden Academic Centre for Drug Research, Leiden University, 2333 CC Leiden, The Netherlands.ORCID 0000-0003-0717-1817
Laura H HeitmanLeiden Academic Centre for Drug Research, Leiden University, 2333 CC Leiden, The Netherlands.ORCID 0000-0002-1381-8464
Sebastian J PomplunLeiden Academic Centre for Drug Research, Leiden University, 2333 CC Leiden, The Netherlands.ORCID 0000-0003-0905-8551

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Virtual screening (VS) is a powerful approach to exploring a vast chemical space, encompassing libraries of millions to billions of compounds. However, the low hit rates of VS require testing numerous candidates to validate true binders, followed by iterative optimization cycles, which makes experimental validation costly and time-consuming. Here, we report COMBINAUT, an automated parallel synthesis platform that generates diverse chemical scaffolds to accelerate hit validation and refinement. Using a faculty-wide collection of in-house building blocks, the system enables enumeration of over 22.9 million compounds, each designed for parallelized synthesis within 32 h using repurposed solid-phase peptide synthesis equipment. Using this platform, we performed large-scale VS targeting the allosteric pocket of the immuno-oncology target, C-C chemokine receptor 2 (CCR2). Our approach facilitated the rapid synthesis and testing of 100 VS hits spanning diverse molecular architectures. In radioligand binding assays, we successfully validated nine hits with distinct scaffolds, including completely novel CCR2 ligand chemotypes. Iterative hit-to-lead optimization using the automated workflow produced cell-active CCR2 antagonists. This work demonstrates the synergy of automated synthesis and VS, enabling the efficient exploration of chemical space and the rapid discovery of novel ligands.

Indexed as

Drug DiscoveryReceptors, CCR2Small Molecule LibrariesAutomationHumansLigandsCCR2 protein, humanLigandsReceptors, CCR2Small Molecule Libraries

Identifiers

PMID42427001
PMCPMC13397544

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.