Evidence map›Paper›PMID 41907587›Full record

ArticleArXiv2026

Binding Free Energies without Alchemy.

Michael Brocidiacono, Brandon Novy, Rishabh Dey, Konstantin I Popov, Alexander Tropsha

Abstract readPreprint
In one paragraph

Article in ArXiv, 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

5 authors.

Michael BrocidiaconoEshelman School of Pharmacy, University of North Carolina at Chapel Hill.
Brandon NovyCurriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill.
Rishabh DeyEshelman School of Pharmacy, University of North Carolina at Chapel Hill.
Konstantin I PopovEshelman School of Pharmacy, University of North Carolina at Chapel Hill.
Alexander TropshaEshelman School of Pharmacy, University of North Carolina at Chapel Hill.

Funding

Molecular and Cellular Biophysics Training GrantT32GM148376 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Matthew R Redinbo, Qi Zhang · 2024 to 2026
$1.4M
NIGMS NIH HHS T32 GM148376
6 · The paper itself

Abstract

Absolute Binding Free Energy (ABFE) methods are among the most accurate computational techniques for predicting protein-ligand binding affinities, but their utility is limited by the need for many simulations of alchemically modified intermediate states. We propose Direct Binding Free Energy (DBFE), an end-state ABFE method in implicit solvent that requires no alchemical intermediates. DBFE outperforms OBC2 double decoupling on a host-guest benchmark and performs comparably to OBC2 MM/GBSA on a protein-ligand benchmark. Since receptor and ligand simulations can be precomputed and amortized across compounds, DBFE requires only one complex simulation per ligand compared to the many lambda windows needed for double decoupling, making it a promising candidate for virtual screening workflows. We publicly release the code for this method at https://github.com/molecularmodelinglab/dbfe.

Identifiers

PMID41907587
PMCPMC13019442

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.