pith. sign in

arxiv: 2107.13607 · v1 · pith:OQL2FRGRnew · submitted 2021-07-28 · 🪐 quant-ph

Quantum Molecular Unfolding

classification 🪐 quant-ph
keywords molecularmoleculequantumannealingdockingmaximizesshapeunfolding
0
0 comments X
read the original abstract

Molecular Docking (MD) is an important step of the drug discovery process which aims at calculating the preferred position and shape of one molecule to a second when they are bound to each other. During such analysis, 3D representations of molecules are manipulated according to their degree of freedoms: rigid roto-translation and fragment rotations along the rotatable bonds. In our work, we focused on one specific phase of the molecular docking procedure i.e. Molecular Unfolding (MU), which is used to remove the initial bias of a molecule by expanding it to an unfolded shape. The objective of the MU problem is to find the configuration that maximizes the molecular area, or equivalently, that maximizes the internal distances between atoms inside the molecule. We propose a quantum annealing approach to MU by formulating it as a High-order Unconstrained Binary Optimization (HUBO) which was possible to solve on the latest D-Wave annealing hardware (2000Q and Advantage). Results and performances obtained with quantum annealers are compared with state of art classical solvers.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. A Physically-Informed Subgraph Isomorphism Approach to Molecular Docking Using Quantum Annealers

    cs.ET 2026-04 unverdicted novelty 5.0

    A novel QUBO formulation for quantum-annealer molecular docking adds physicochemical interaction terms to a prior geometric subgraph-isomorphism approach and reports improved accuracy on D-Wave devices.