Evidence map›Paper›PMID 34401881›Full record

ArticlebioRxiv : the preprint server for biology2021

Drug repurposing based on a Quantum-Inspired method versus classical fingerprinting uncovers potential antivirals against SARS-CoV-2 including vitamin B12.

Jose M Jimenez-Guardeño, Ana Maria Ortega-Prieto, Borja Menendez Moreno, Thomas J A Maguire, Adam Richardson, Juan Ignacio Diaz-Hernandez, Javier Diez Perez, Mark Zuckerman, Albert Mercadal Playa, Carlos Cordero Deline and 2 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2021. 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, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 2 countries.

Jose M Jimenez-GuardeñoDept Infectious Diseases, School of Immunology and Microbial Sciences, King's College London, London (UK).
Ana Maria Ortega-PrietoDept Infectious Diseases, School of Immunology and Microbial Sciences, King's College London, London (UK).
Borja Menendez MorenoFujitsu Technology Solutions S.A., Camino del Cerro de los Gamos, 1, 28224, Pozuelo de Alarcón, Madrid (Spain).
Thomas J A MaguireDept Infectious Diseases, School of Immunology and Microbial Sciences, King's College London, London (UK).
Adam RichardsonDept Infectious Diseases, School of Immunology and Microbial Sciences, King's College London, London (UK).
Juan Ignacio Diaz-HernandezFujitsu Technology Solutions S.A., Camino del Cerro de los Gamos, 1, 28224, Pozuelo de Alarcón, Madrid (Spain).
Javier Diez PerezFujitsu Technology Solutions S.A., Camino del Cerro de los Gamos, 1, 28224, Pozuelo de Alarcón, Madrid (Spain).
Mark ZuckermanSouth London Virology Centre, King's College Hospital, London (UK).
Albert Mercadal PlayaFujitsu Technology Solutions S.A., Camino del Cerro de los Gamos, 1, 28224, Pozuelo de Alarcón, Madrid (Spain).
Carlos Cordero DelineFujitsu Technology Solutions S.A., Camino del Cerro de los Gamos, 1, 28224, Pozuelo de Alarcón, Madrid (Spain).
Michael H MalimDept Infectious Diseases, School of Immunology and Microbial Sciences, King's College London, London (UK).
Rocio T Martinez-NunezDept Infectious Diseases, School of Immunology and Microbial Sciences, King's College London, London (UK).
King's College London · GBFujitsu (Japan) · JPKing's College Hospital · GB

Funding

X-ray Crystallographic Fragment Screening CoreU54AI150472 · NIAID · SEATTLE CHILDREN'S HOSPITAL · PI ARNOLD, EDWARD · 2019 to 2021
$15.7M
Ultrapotent Inhibitors of Wild-type and Multi-drug Resistant HIVR01AI076119 · NIAID · UNIVERSITY OF MISSOURI-COLUMBIA · PI SARAFIANOS, STEFAN G · 2008 to 2018
$4.1M
Ultrapotent Inhibitors of Wild-type and Multi-drug Resistant HIVR37AI076119 · NIAID · EMORY UNIVERSITY · PI Stefan G Sarafianos · 2020 to 2026
$3.6M
Medical Research Council MR/W005611/1NIAID NIH HHS R01 AI076119NIAID NIH HHS R37 AI076119NIAID NIH HHS U54 AI150472Wellcome Trust
6 · The paper itself

Abstract

The COVID-19 pandemic has accelerated the need to identify new therapeutics at pace, including through drug repurposing. We employed a Quadratic Unbounded Binary Optimization (QUBO) model, to search for compounds similar to Remdesivir (RDV), the only antiviral against SARS-CoV-2 currently approved for human use, using a quantum-inspired device. We modelled RDV and compounds present in the DrugBank database as graphs, established the optimal parameters in our algorithm and resolved the Maximum Weighted Independent Set problem within the conflict graph generated. We also employed a traditional Tanimoto fingerprint model. The two methods yielded different lists of compounds, with some overlap. While GS-6620 was the top compound predicted by both models, the QUBO model predicted BMS-986094 as second best. The Tanimoto model predicted different forms of cobalamin, also known as vitamin B12. We then determined the half maximal inhibitory concentration (IC

Identifiers

PMID34401881
PMCPMC8366797
OpenAlexW3173723314

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.