Evidence map›Paper›PMID 41166254›Full record

ArticleJournal of chemical information and modeling2025

Evaluation of the ABCG2 Charge Model in Protein-Ligand Binding Free-Energy Calculations.

Sudarshan Behera, Vytautas Gapsys, Bert L de Groot

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

3 authors.

Sudarshan BeheraComputational Biomolecular Dynamics Group, Max Planck Institute for Multidisciplinary Sciences, Göttingen 37077, Germany.ORCID 0000-0003-1025-0639
Vytautas GapsysIn Silico Discovery Janssen Research & Development, Janssen Pharmaceutica N.V., Turnhoutseweg 30, 2340 Beerse, Belgium.
Bert L de GrootComputational Biomolecular Dynamics Group, Max Planck Institute for Multidisciplinary Sciences, Göttingen 37077, Germany.ORCID 0000-0003-3570-3534

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate binding free energy prediction is vital for drug design, motivating the assessment of new force field models. Here, we evaluate the ABCG2 charge model with nonequilibrium alchemical free-energy simulations. GAFF2/ABCG2 achieves higher hydration free energy accuracy but does not outperform GAFF2/AM1-BCC for protein-ligand binding free energy. Both charge models exhibit comparable accuracy and compound ranking across targets, indicating that property-specific force field optimization does not guarantee improved related-property performance.

Indexed as

ATP Binding Cassette Transporter, Subfamily G, Member 2HumansLigandsMolecular Dynamics SimulationProtein BindingThermodynamicsATP Binding Cassette Transporter, Subfamily G, Member 2Ligands

Identifiers

PMID41166254
PMCPMC12606647

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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.