Evidence map›Paper›PMID 42518437›Full record

ArticleACS omega2026

A Physically Informed QUBO Model for π‑Stacking Interactions in Molecular Docking Problems.

Alessandro Beneventi, Anita Camillini, Francesco Micucci, Gabriella Bettonte, Matteo Barbieri, Gianluca Palermo, Andrea Rosario Beccari, Domenico Bonanni

Abstract read
In one paragraph

Article in ACS omega, 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

8 authors.

Alessandro BeneventiScuola di Scienze, University of Bologna, Via Selmi 3, Bologna 40126, Italy.ORCID https://orcid.org/0009-0002-1636-5760
Anita CamilliniQuantum Computing Lab, CINECA Via Magnanelli, 2, Casalecchio di Reno 40033, Italy.ORCID https://orcid.org/0000-0002-9966-4426
Francesco MicucciE4 Computer Engineering SpA, Viale Martiri della Libertà 66, Scandiano 42019, Italy.
Gabriella BettonteE4 Computer Engineering SpA, Viale Martiri della Libertà 66, Scandiano 42019, Italy.
Matteo BarbieriE4 Computer Engineering SpA, Viale Martiri della Libertà 66, Scandiano 42019, Italy.ORCID https://orcid.org/0009-0003-6265-9687
Gianluca PalermoPolitecnico di Milano, Via Giuseppe Ponzio 34/5, Milan 20133, Italy.ORCID https://orcid.org/0000-0001-7955-8012
Andrea Rosario BeccariEXSCALATE, Dompé Farmaceutici S.p.A., Via Tommaso De Amicis 95, Naples 80131, Italy.ORCID https://orcid.org/0000-0001-6830-2695
Domenico BonanniDepartment of Physical and Chemical Sciences, University of L'Aquila, Via Vetoio, Coppito, L'Aquila 67100, Italy.ORCID https://orcid.org/0000-0001-9160-0914

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular docking is a computational technique central to computer-aided drug discovery (CADD), aimed at predicting the preferred binding mode and binding affinity of a small-molecule ligand within the active site of a target macromolecule. Recent advances in quantum computing have led to the development of new molecular docking models. In particular, quantum annealing has motivated the formulation of physically informed docking frameworks that can be encoded within discrete optimization paradigms such as QUBO formulations.

Identifiers

PMID42518437
PMCPMC13382668

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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.