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

High Resolution Image Download MS PowerPoint Slide 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.

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Publication Details

Journal
ACS Omega
Published
2026-06-26
DOI
https://doi.org/10.1021/acsomega.6c02707
Primary Topic
Supramolecular Chemistry and Complexes
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Alessandro Beneventi, Andrea R. Beccari, Anita Camillini, Gabriella Bettonte et al.
ACS Omega
Supramolecular Chemistry and Complexes
article

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

Alessandro Beneventi, Andrea R. Beccari, Anita Camillini, Gabriella Bettonte, Domenico Bonanni, Gianluca Palermo, Francesco Micucci, Matteo Barbieri
article en

Abstract

High Resolution Image Download MS PowerPoint Slide 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.

ACS Omega
Eni (Italy) (IT), University of L'Aquila (IT), Italian Institute of Technology (IT), Cineca (IT), Farmaceutici Damor (Italy) (IT), University of Bologna (IT), Politecnico di Milano (IT)
Openalex Percentile: Top 13%
Supramolecular Chemistry and Complexes
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