Evidence map›Paper›PMID 41870481›Full record

ArticleJournal of chemical information and modeling2026

AutoPocket2CREST: Automating Binding Pocket Extraction for the CREST Conformer Generation Pipeline.

Christian Fellinger, Marion Sappl, András Szabadi, Benjamin Merget, Klaus-Juergen Schleifer, Thierry Langer

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 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

6 authors.

Christian FellingerDepartment of Pharmaceutical Sciences, Faculty of Life Sciences, University of Vienna, Josef-Holaubek-Platz 2, Vienna 1090, Austria.ORCID 0009-0006-9478-5591
Marion SapplDepartment of Computational Biological Chemistry, University of Vienna, Währinger Straße 17, Vienna 1090, Austria.
András SzabadiDepartment of Computational Biological Chemistry, University of Vienna, Währinger Straße 17, Vienna 1090, Austria.
Benjamin MergetBASF SE, Carl-Bosch-Strasse 38, Ludwigshafen am Rhein 67056, Germany.
Klaus-Juergen SchleiferBASF SE, Carl-Bosch-Strasse 38, Ludwigshafen am Rhein 67056, Germany.ORCID 0000-0003-3428-1384
Thierry LangerDepartment of Pharmaceutical Sciences, Faculty of Life Sciences, University of Vienna, Josef-Holaubek-Platz 2, Vienna 1090, Austria.ORCID 0000-0002-5242-1240

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AutoPocket2CREST is an automated workflow for preparing protein-ligand binding pockets for CREST conformational sampling. Starting from protein and ligand structures, the method identifies the ligand, constructs a chemically consistent pocket around it, applies optional backbone constraints, and postprocesses CREST conformers to restore structural annotations. AutoPocket2CREST integrates common open-source tools and enables reproducible semiempirical conformational sampling of protein-bound ligands.

Indexed as

ProteinsSoftwareAutomationBinding SitesLigandsModels, MolecularProtein BindingProtein ConformationLigandsProteins

Identifiers

PMID41870481
PMCPMC13080960

What OpenQuestion holds

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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.