Evidence map›Paper›PMID 42674408›Full record

ArticleJournal of chemical theory and computation2026

One Blob to Rule Them All: A Universal Dual-Topology Nonequilibrium Framework for Relative and Absolute Binding Free Energies via a Lennard-Jones Blob Reference.

Piero Procacci

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 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

1 author.

Piero ProcacciDipartimento di Chimica "Ugo Schiff", Università degli Studi di Firenze, Via della Lastruccia 3, 50019Sesto Fiorentino, Italy.ORCID 0000-0003-2667-3847

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-topology (ST) free energy perturbation (FEP) methods, while accurate for congeneric series, require chemical similarity between ligands, bespoke perturbation networks, and offer no direct route to absolute binding free energies (ABFEs). Here we introduce DT-NE-Alchemy, a dual-topology nonequilibrium (NE) framework that eliminates these constraints through a universal Lennard-Jones (LJ) blob reference state. The LJ blob─a minimal, rigid molecule (as small as a single LJ particle) designed to fit the binding pocket─serves as a common anchor for alchemical transformations. Relative binding free energies between any two ligands are obtained by two-edge transformations Li → blob → Lj, yielding all n(n - 1)/2 pairwise values from only n blob-based calculations. Crucially, ABFEs follow directly as ΔGblob+ΔGblob→Li, converting the long-sought "holy grail" of computational drug design into a practical reality. Applied to 16 MCL-1 ligands spanning indole, benzothiophene, and benzofuran scaffolds, the method achieves Pearson correlations up to 0.88, Kendall τ of ≃0.70, and mean unsigned errors of 1.2-1.5 kcal/mol for 120 relative pairs. The methodology delivers credible, tunable confidence intervals directly from BAR analysis, controllable via switching time τ and trajectory count N without costly replicate simulations. All computational tasks are embarrassingly parallel by design, perfectly aligned with leadership-class HPC systems. DT-NE-Alchemy is automatable and poised to effectively complement ST/FEP for the exploration of chemically diverse libraries and scaffold identification, with the latter remaining the gold standard for lead optimization within strictly congeneric series.

Identifiers

PMID42674408
PMCPMC13523705

What OpenQuestion holds

Textmetadata
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.