Evidence map›Paper›PMID 39118822›Full record

Review3 Biotech2024

In silico screening and evaluation of antiviral peptides as inhibitors against ORF9b protein of SARS-CoV-2.

Gaurav Sharma, Prateek Paul, Ananya Dviwedi, Parneet Kaur, Pradeep Kumar, V Kumar Gupta, Saurav Bhaskar Saha, Saurabh Kulshrestha

Abstract readReview
In one paragraph

Review in 3 Biotech, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

8 authors.

Gaurav Sharma *Faculty of Applied Sciences and Biotechnology, Shoolini University of Biotechnology and Management Sciences, Solan, 173229 Himachal Pradesh India.
Prateek Paul *Department of Computational Biology and Bioinformatics, Sam Higginbottom University of Agriculture, Technology, and Sciences, Prayagraj, 211007 Uttar Pradesh India.
Ananya DviwediFaculty of Applied Sciences and Biotechnology, Shoolini University of Biotechnology and Management Sciences, Solan, 173229 Himachal Pradesh India.
Parneet KaurFaculty of Applied Sciences and Biotechnology, Shoolini University of Biotechnology and Management Sciences, Solan, 173229 Himachal Pradesh India.
Pradeep KumarFaculty of Applied Sciences and Biotechnology, Shoolini University of Biotechnology and Management Sciences, Solan, 173229 Himachal Pradesh India.
V Kumar GuptaDepartment of Applied Biology, University of Science and Technology, Meghalaya, 793101 India.
Saurav Bhaskar SahaDepartment of Computational Biology and Bioinformatics, Sam Higginbottom University of Agriculture, Technology, and Sciences, Prayagraj, 211007 Uttar Pradesh India.
Saurabh KulshresthaFaculty of Applied Sciences and Biotechnology, Shoolini University of Biotechnology and Management Sciences, Solan, 173229 Himachal Pradesh India.ORCID 0000-0003-0351-9425

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study investigated antiviral peptides (AVPs) as inhibitors of SARS-CoV-2 Orf9b protein, a novel target for disrupting the Orf9b-TOM70 complex crucial for viral infection. In silico screening via molecular docking and MD simulations identified AVP1442 and AVP1896 with high binding affinities to Orf9b (- 846.3 kcal mol Supplementary Information: The online version contains supplementary material available at 10.1007/s13205-024-04032-4.

Indexed as

Antiviral peptideCOVID-19Orf9bSARS-CoV-2Virtual screening

Identifiers

PMID39118822
PMCPMC11303353

What OpenQuestion holds

Textmetadata
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.