Evidence map›Paper›PMID 37155030›Full record

ArticleJournal of molecular modeling2023

In silico analysis and molecular docking studies of natural compounds of Withania somnifera against bovine NLRP9.

Aarif Ali, Gh Jeelani Mir, Aadil Ayaz, Illiyas Maqbool, Sheikh Bilal Ahmad, Saima Mushtaq, Altaf Khan, Tahir Maqbool Mir, Muneeb U Rehman

Open access · bronzeAbstract read
In one paragraph

Article in Journal of molecular modeling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
22.2field-weighted citation impact, top 1% 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

18 citing papers in PubMed, 56 citations in OpenAlex.

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  12. Frontiers in immunology · 2024
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  14. Biochemistry research international · 2024
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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

9 authors at 7 institutions in 3 countries.

Aarif AliDepartment of Clinical Biochemistry, School of Biological Sciences, University of Kashmir, Hazratbal, Srinagar, 190006, J&K, India.ORCID https://orcid.org/0000-0001-8789-2715
Gh Jeelani MirDepartment of Clinical Biochemistry, School of Biological Sciences, University of Kashmir, Hazratbal, Srinagar, 190006, J&K, India.
Aadil AyazDepartment of Microbiology, SKIMS Medical College Bemina, Srinagar, 190018, J&K, India.
Illiyas MaqboolDepartment of Microbiology, Government Medical College, Baramulla, 193101, J&K, India.
Sheikh Bilal AhmadDivision of Veterinary Biochemistry, Faculty of Veterinary Sciences & Animal Husbandry, Sher-e-Kashmir University of Agricultural Sciences and Technology, Kashmir (SKUAST-K), Shuhama, Srinagar, 190006, J&K, India.
Saima MushtaqVeterinary Microbiology Department, Indian Veterinary Research Institute (IVRI), Bareilly, Uttar Pradesh, 243122, India.
Altaf KhanDepartment of Pharmacology and Toxicology, College of Pharmacy, King Saud University, P.O. Box 2457, Riyadh, 11451, Saudi Arabia.
Tahir Maqbool MirNational Centre for Natural Products Research, University of Mississippi, Oxford, MS, 38677, USA.
Muneeb U RehmanDepartment of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia. muneebjh@gmail.com.ORCID https://orcid.org/0000-0002-9995-6576
King Saud University · SAUniversity of Kashmir · INGovernment Medical College · INIndian Veterinary Research Institute · INSher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir · INSher-i-Kashmir Institute of Medical Sciences · INUniversity of Mississippi · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextNLRP9 is a member of nucleotide-binding domain leucine-rich repeat-containing receptors and is found to be associated with many inflammatory diseases. In the current scenario, the identification of promising anti-inflammatory compounds from natural sources by repurposing approach is still relevant for the early prevention and effective management of the disease.

methodsIn the present study, we docked bioactives of Ashwagandha (Withanoside IV, Withanoside V, Withanolide A, Withanolide B, and Sitoindoside IX) and two control drugs against bovine NLRP9 protein. ADME/T analysis was used to determine the physiochemical properties of compounds and standard drugs. Molecular modeling was used to evaluate the correctness and quality of protein structures. In silico docking analysis revealed Withanolide B had the highest binding affinity score of -10.5 kcal/mol, whereas, among control drugs, doxycycline hydrochloride was most effective (-10.3 kcal/mol). The results of this study revealed that bioactives of Withania somnifera could be promising inhibitors against bovine NLRP9. In the present study, molecular simulation was used to measure protein conformational changes over time. The Rg value was found to be 34.77A°. RMSD and B-factor were also estimated to provide insights into the flexibility and mobile regions of protein structure. A functional protein network interaction was constructed from information collected from non-curative sources as protein-protein interactions (PPI) that play an important role in determining the function of the target protein and the ability of the drug molecule. Thus, in the present situation, it is important to identify bioactives with the potential to combat inflammatory diseases and provide strength and immunity to the host. However, there is still a need to study in vitro and in vivo to further support these findings.

Indexed as

WithaniaAnimalsCattleComputer SimulationMolecular Docking SimulationADMETDockingElectrostaticIn silicoNLRP9SimulationSTRINGWithania somnifera

Identifiers

PMID37155030
PMCPMC10165590
OpenAlexW4375860686

What Socratic 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 Socratic graph.