Evidence map›Paper›PMID 34144270›Full record

ArticleComputers in biology and medicine2021

A computational approach for rational discovery of inhibitors for non-structural protein 1 of SARS-CoV-2.

Rahul Singh, Vijay Kumar Bhardwaj, Pralay Das, Rituraj Purohit

Open access · greenAbstract read
In one paragraph

Article in Computers in biology and medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
10.1field-weighted citation impact, top 2% of its field
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

42 citing papers in PubMed, 72 citations in OpenAlex.

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  6. Exploring the Therapeutic Potential ofMolecules (Basel, Switzerland) · 2024
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  8. Investigation of the effects ofComputational & theoretical chemistry · 2023
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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

4 authors at 1 institution in 1 country.

Rahul SinghStructural Bioinformatics Lab, CSIR-Institute of Himalayan Bioresource Technology (CSIR-IHBT), Palampur, HP, 176061, India; Biotechnology Division, CSIR-IHBT, Palampur, HP, 176061, India.
Vijay Kumar BhardwajStructural Bioinformatics Lab, CSIR-Institute of Himalayan Bioresource Technology (CSIR-IHBT), Palampur, HP, 176061, India; Biotechnology Division, CSIR-IHBT, Palampur, HP, 176061, India; Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India.
Pralay DasAcademy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India; Natural Product Chemistry and Process Development, CSIR-Institute of Himalayan Bioresource Technology (CSIR-IHBT), Palam-pur, India.
Rituraj PurohitStructural Bioinformatics Lab, CSIR-Institute of Himalayan Bioresource Technology (CSIR-IHBT), Palampur, HP, 176061, India; Biotechnology Division, CSIR-IHBT, Palampur, HP, 176061, India; Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India. Electronic address: rituraj@ihbt.res.in.
Institute of Himalayan Bioresource Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-structural protein 1 (Nsp1), a virulence agent of SARS-CoV-2, has emerged as an important target for drug discovery. Nsp1 shuts down the host gene function by associating with the 40S ribosomal subunit.

methodsMolecular interactions, drug-likeness, physiochemical property predictions, and robust molecular dynamics (MD) simulations were employed to discover novel Nsp1 inhibitors. In this study, we evaluated a series of molecules based on the plant (Cedrus deodara) derived α,β,γ-Himachalenes scaffolds.

resultsThe results obtained from estimated affinity and ligand efficiency suggested that BCH10, BCH15, BCH16, and BCH17 could act as potential inhibitors of Nsp1. Moreover, MD simulations comprising various MD driven time-dependent analyses and thermodynamic free energy calculations also suggested stable protein-ligand complexes and strong interactions with the binding site. Furthermore, the selected molecules passed drug likeliness parameters and the physiochemical property analysis showed acceptable bioactivity scores.

conclusionThe structural parameters of dynamic simulations revealed that the reported molecules could act as lead compounds against SARS-CoV-2 Nsp1 protein.

Indexed as

SARS-CoV-2Binding SitesCedrusPhytochemicalsRibosome Subunits, Small, EukaryoticRNA-Dependent RNA PolymeraseViral Nonstructural ProteinsNsp1 protein, SARS coronavirusPhytochemicalsRNA-Dependent RNA PolymeraseViral Nonstructural ProteinsCOVID-19FELFree energy landscapeMM-PBSANon-structural protein 1Nsp1SARS-CoV-2

Identifiers

PMID34144270
PMCPMC8184359
OpenAlexW3170353867

What OpenQuestion holds

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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.