Evidence map›Paper›PMID 38785647›Full record

ArticleEntropy (Basel, Switzerland)2024

QUBO Problem Formulation of Fragment-Based Protein-Ligand Flexible Docking.

Keisuke Yanagisawa, Takuya Fujie, Kazuki Takabatake, Yutaka Akiyama

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Quantum computing applications in drug discovery.Briefings in bioinformatics · 2026
    Review
  3. Article
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

4 authors.

Keisuke YanagisawaDepartment of Computer Science, School of Computing, Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8550, Japan.ORCID 0000-0003-0224-0035
Takuya FujieAhead Biocomputing, Co., Ltd., Kawasaki-shi 210-0007, Kanagawa, Japan.ORCID 0000-0003-2103-6195
Kazuki TakabatakeToshiba Digital Solutions Corporation, Kawasaki-shi 212-8585, Kanagawa, Japan.ORCID 0000-0002-1138-2599
Yutaka AkiyamaAhead Biocomputing, Co., Ltd., Kawasaki-shi 210-0007, Kanagawa, Japan.ORCID 0000-0003-2863-8703

Funding

Japan Agency for Medical Research and Development JP23ama121026j0002, JP23ama121029j0002Japan Society for the Promotion of Science 22H03684, 23H03495New Energy and Industrial Technology Development Organization JPNP23003
6 · The paper itself

Abstract

Protein-ligand docking plays a significant role in structure-based drug discovery. This methodology aims to estimate the binding mode and binding free energy between the drug-targeted protein and candidate chemical compounds, utilizing protein tertiary structure information. Reformulation of this docking as a quadratic unconstrained binary optimization (QUBO) problem to obtain solutions via quantum annealing has been attempted. However, previous studies did not consider the internal degrees of freedom of the compound that is mandatory and essential. In this study, we formulated fragment-based protein-ligand flexible docking, considering the internal degrees of freedom of the compound by focusing on fragments (rigid chemical substructures of compounds) as a QUBO problem. We introduced four factors essential for fragment-based docking in the Hamiltonian: (1) interaction energy between the target protein and each fragment, (2) clashes between fragments, (3) covalent bonds between fragments, and (4) the constraint that each fragment of the compound is selected for a single placement. We also implemented a proof-of-concept system and conducted redocking for the protein-compound complex structure of Aldose reductase (a drug target protein) using SQBM+, which is a simulated quantum annealer. The predicted binding pose reconstructed from the best solution was near-native (RMSD = 1.26 Å), which can be further improved (RMSD = 0.27 Å) using conventional energy minimization. The results indicate the validity of our QUBO problem formulation.

Indexed as

combinatorial optimizationcompound fragmentflexible dockingprotein–ligand dockingquadratic unconstrained binary optimization (QUBO)quantum annealingsimulated quantum annealerSQBM+

Identifiers

PMID38785647
PMCPMC11119847

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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.