Evidence map›Paper›PMID 33924395›Full record

ArticlePharmaceuticals (Basel, Switzerland)2021

Identification of Anti-SARS-CoV-2 Compounds from Food Using QSAR-Based Virtual Screening, Molecular Docking, and Molecular Dynamics Simulation Analysis.

Magdi E A Zaki, Sami A Al-Hussain, Vijay H Masand, Siddhartha Akasapu, Sumit O Bajaj, Nahed N E El-Sayed, Arabinda Ghosh, Israa Lewaa

Abstract read
In one paragraph

Article in Pharmaceuticals (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  18. Frontiers in chemistry · 2022
    Article
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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

8 authors.

Magdi E A ZakiDepartment of Chemistry, Faculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 13318, Saudi Arabia.
Sami A Al-HussainDepartment of Chemistry, Faculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 13318, Saudi Arabia.
Vijay H MasandDepartment of Chemistry, Vidya Bharati Mahavidyalaya, Amravati, Maharashtra 444 602, India.
Siddhartha AkasapuCorden Pharma, Boulder, CO 80301, USA.
Sumit O BajajCorden Pharma, Boulder, CO 80301, USA.
Nahed N E El-SayedEgyptian Drug Authority, Agouza, Giza 35521, Egypt.
Arabinda GhoshMicrobiology Division, Department of Botany, Gauhati University, Guwahati, Assam 781014, India.ORCID 0000-0002-3891-5949
Israa LewaaDepartment of Business Administration, Faculty of Business Administration, Economics and Political Science, British University in Egypt, Cairo 11837, Egypt.

Funding

Deanship of Scientific Research at Imam Mohammad Ibn Saud Islamic University, Ri-yadh, KSA 20-13-12-011
6 · The paper itself

Abstract

Due to the genetic similarity between SARS-CoV-2 and SARS-CoV, the present work endeavored to derive a balanced Quantitative Structure-Activity Relationship (QSAR) model, molecular docking, and molecular dynamics (MD) simulation studies to identify novel molecules having inhibitory potential against the main protease (Mpro) of SARS-CoV-2. The QSAR analysis developed on multivariate GA-MLR (Genetic Algorithm-Multilinear Regression) model with acceptable statistical performance (R

Indexed as

COVID-19machine learningmolecular dockingQSARQSAR-based virtual screeningSARS-CoVSARS-CoV-2

Identifiers

PMID33924395
PMCPMC8070011

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Registered trials

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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.