Evidence map›Paper›PMID 35518150›Full record

ArticleRSC advances2020

Rapid prediction of possible inhibitors for SARS-CoV-2 main protease using docking and FPL simulations.

Minh Quan Pham, Khanh B Vu, T Ngoc Han Pham, Le Thi Thuy Huong, Linh Hoang Tran, Nguyen Thanh Tung, Van V Vu, Trung Hai Nguyen, Son Tung Ngo

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In one paragraph

Article in RSC advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Minh Quan PhamGraduate University of Science and Technology, Vietnam Academy of Science and Technology Hanoi Vietnam.ORCID https://orcid.org/0000-0001-6922-1627
Khanh B VuSchool of Biotechnology, International University Ho Chi Minh City Vietnam.
T Ngoc Han PhamFaculty of Pharmacy, Ton Duc Thang University Ho Chi Minh City Vietnam.
Le Thi Thuy HuongGraduate University of Science and Technology, Vietnam Academy of Science and Technology Hanoi Vietnam.
Linh Hoang TranVietnam National University Ho Chi Minh City Vietnam.
Nguyen Thanh TungGraduate University of Science and Technology, Vietnam Academy of Science and Technology Hanoi Vietnam.ORCID https://orcid.org/0000-0003-0232-7261
Van V VuNTT Hi-Tech Institute, Nguyen Tat Thanh University Ho Chi Minh City Vietnam.ORCID https://orcid.org/0000-0003-0009-6703
Trung Hai NguyenLaboratory of Theoretical and Computational Biophysics, Ton Duc Thang University Ho Chi Minh City Vietnam ngosontung@tdtu.edu.vn.
Son Tung NgoLaboratory of Theoretical and Computational Biophysics, Ton Duc Thang University Ho Chi Minh City Vietnam ngosontung@tdtu.edu.vn.ORCID https://orcid.org/0000-0003-1034-1768

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Originating for the first time in Wuhan, China, the outbreak of SARS-CoV-2 has caused a serious global health issue. An effective treatment for SARS-CoV-2 is still unavailable. Therefore, in this study, we have tried to predict a list of potential inhibitors for SARS-CoV-2 main protease (Mpro) using a combination of molecular docking and fast pulling of ligand (FPL) simulations. The approaches were initially validated over a set of eleven available inhibitors. Both Autodock Vina and FPL calculations produced consistent results with the experiments with correlation coefficients of

Identifiers

PMID35518150
PMCPMC9056572

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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.