Evidence map›Paper›PMID 35116157›Full record

ArticleRoyal Society open science2022

Unbinding ligands from SARS-CoV-2 Mpro via umbrella sampling simulations.

Nguyen Minh Tam, Trung Hai Nguyen, Vu Thi Ngan, Nguyen Thanh Tung, Son Tung Ngo

Abstract read
In one paragraph

Article in Royal Society open science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Understanding hypertrophic cardiomyopathy and its regulation by myosin drugs.Protein science : a publication of the Protein Society · 2025
    Article
  3. On the Control of Directionality of Myosin.Journal of the American Chemical Society · 2024
    Article
  4. Article
  5. Article
  6. CHAPERONComputational and structural biotechnology journal · 2023
    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

5 authors.

Nguyen Minh TamComputational Chemistry Research Group, Ton Duc Thang University, Ho Chi Minh City, Vietnam.
Trung Hai NguyenFaculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, Vietnam.ORCID 0000-0003-1848-3963
Vu Thi NganLaboratory of Computational Chemistry and Modelling, Department of Chemistry, Quy Nhon University, Quy Nhon, Vietnam.
Nguyen Thanh TungInstitute of Materials Science, Vietnam Academy of Science and Technology, Hanoi, Vietnam.
Son Tung NgoFaculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, Vietnam.ORCID 0000-0003-1034-1768

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The umbrella sampling (US) simulation is demonstrated to be an efficient approach for determining the unbinding pathway and binding affinity to the SARS-CoV-2 Mpro of small molecule inhibitors. The accuracy of US is in the same range as the linear interaction energy (LIE) and fast pulling of ligand (FPL) methods. In detail, the correlation coefficient between US and experiments does not differ from FPL and is slightly smaller than LIE. The root mean square error of US simulations is smaller than that of LIE. Moreover, US is better than FPL and poorer than LIE in classifying SARS-CoV-2 Mpro inhibitors owing to the reciever operating characteristic-area under the curve analysis. Furthermore, the US simulations also provide detailed insights on unbinding pathways of ligands from the binding cleft of SARS-CoV-2 Mpro. The residues

Indexed as

free energySARS-CoV-2 MproSMDumbrella samplingunbinding pathway

Identifiers

PMID35116157
PMCPMC8790385

What OpenQuestion holds

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LicenceCC BY
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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.