Evidence map›Paper›PMID 32897173›Full record

ArticleJournal of biomolecular structure & dynamics2022

Drug similarity and structure-based screening of medicinal compounds to target macrodomain-I from SARS-CoV-2 to rescue the host immune system: a molecular dynamics study.

Zainib Babar, Mazhar Khan, Mubeen Zahra, Munazza Anwar, Kashif Noor, Huma Farooque Hashmi, Muhammad Suleman, Muhammad Waseem, Abdullah Shah, Shahid Ali and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of biomolecular structure & dynamics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.0field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Intracellular mono-ADP-ribosyltransferases at the host-virus interphase.Cellular and molecular life sciences : CMLS · 2022
    Review
  9. Article
  10. Article
  11. Potential inhibitors of SARS-CoV-2 (COVID 19) proteases PLCurrent research in pharmacology and drug discovery · 2021
    Article
  12. ADP-ribosylation systems in bacteria and viruses.Computational and structural biotechnology journal · 2021
    Review
  13. 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

11 authors at 7 institutions in 2 countries.

Zainib BabarDepartment of Botany, University of Agriculture, Faisalabad, Punjab, Pakistan.
Mazhar KhanThe CAS Key Laboratory of Innate Immunity and Chronic Diseases, Hefei National Laboratory for Physical Sciences at Microscale, School of Life Sciences, CAS Center for Excellence in Molecular Cell Science, University of Science and Technology of China (USTC), Collaborative Innovation Center of Genetics and Development, Hefei, Anhui, China.
Mubeen ZahraDepartment of Botany, University of Agriculture, Faisalabad, Punjab, Pakistan.
Munazza AnwarDepartment of Biochemistry, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad, Pakistan.
Kashif NoorDepartment of Plant Breeding and Genetics, University of Agriculture Faisalabad, Punjab, Pakistan.
Huma Farooque HashmiSchool of Life Sciences, Shandong University, Shandong, People's Republic of China.
Muhammad SulemanCenter for Biotechnology and Microbiology, University of Swat, Swat, Khyber Pakhtunkhwa, Pakistan.
Muhammad WaseemFaculty of Rehabilitation and Allied Health Science, Riphah International University, Islamabad, Pakistan.
Abdullah ShahDepartment of Biotechnology, Shaheed Benazir Bhutto University, Sheringal, Dir, Pakistan.
Shahid AliCenter for Biotechnology and Microbiology, University of Swat, Swat, Khyber Pakhtunkhwa, Pakistan.
Syed Shujait AliCenter for Biotechnology and Microbiology, University of Swat, Swat, Khyber Pakhtunkhwa, Pakistan.
University of Agriculture Faisalabad · PKUniversity of Swat · PKQuaid-i-Azam University · PKRiphah International University · PKShaheed Benazir Bhutto University · PKShandong University · CNUniversity of Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outbreak of the recent coronavirus (SARS-CoV-2), which causes a severe pneumonia infection, first identified in Wuhan, China, imposes significant risks to public health. Around the world, researchers are continuously trying to identify small molecule inhibitors or vaccine candidates by targeting different drug targets. The SARs-CoV-2 macrodomain-I, which helps in viral replication and hijacking the host immune system, is also a potential drug target. Hence, this study targeted viral macrodomain-I by using drug similarity, virtual screening, docking and re-docking approaches. A total of 64,043 compounds were screened, and potential hits were identified based on the docking score and interactions with the key residues. The top six hits were subjected to molecular dynamics simulation and Free energy calculations and repeated three times each. The per-residue energy decomposition analysis reported that these compounds significantly interact with Asp22, Ala38, Asn40, Val44, Phe144, Gly46, Gly47, Leu127, Ser128, Gly130, Ile131, Phe132 and Ala155 which are the critical active site residues. Here, we also used ADPr as a positive control to compare our results. Our results suggest that our identified hits by using such a complicated computational pipeline could inhibit the SARs-CoV-2 by targeting the macrodomain-1. We strongly recommend the experimental testing of these compounds, which could rescue the host immune system and could help to contain the disease caused by SARs-CoV-2.Communicated by Ramaswamy H. Sarma.

Indexed as

COVID-19Pharmaceutical PreparationsHumansImmune SystemMolecular Docking SimulationMolecular Dynamics SimulationProtease InhibitorsSARS-CoV-2Pharmaceutical PreparationsProtease Inhibitorsdrug similarityfree energyimmune systemMacrodomain-ISARs-CoV-2

Identifiers

PMID32897173
PMCPMC7544951
OpenAlexW3083008092

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.