Evidence map›Paper›PMID 38760355›Full record

ArticleScientific reports2024

Molecular modeling and simulation approaches to characterize potential molecular targets for burdock inulin to instigate protection against autoimmune diseases.

Huma Farooque Hashmi, Xu Xuan, Kaoshan Chen, Pengying Zhang, Muhammad Shahab, Guojun Zheng, Youssouf Ali Younous, Ahmad Mohammad Salamatullah, Mohammed Bourhia

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Huma Farooque HashmiSchool of Life Science and National Glycoengineering Research Center, Shandong University, Qingdao, 266237, China.
Xu XuanSchool of Life Science and National Glycoengineering Research Center, Shandong University, Qingdao, 266237, China.
Kaoshan ChenSchool of Life Science and National Glycoengineering Research Center, Shandong University, Qingdao, 266237, China.
Pengying ZhangSchool of Life Science and National Glycoengineering Research Center, Shandong University, Qingdao, 266237, China. zhangpy80@sdu.edu.cn.
Muhammad ShahabState Key Laboratories of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing, 100029, People's Republic of China.
Guojun ZhengState Key Laboratories of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing, 100029, People's Republic of China.
Youssouf Ali YounousEvangelical College, BP 1200, N'Djamena, Chad. scientifcresearcher@gmail.com.
Ahmad Mohammad SalamatullahDepartment of Food Science and Nutrition, College of Food and Agricultural Sciences, King Saud University, P.O. Box 2460, 11451, Riyadh, Saudi Arabia.
Mohammed BourhiaLaboratory of Biotechnology and Natural Resources Valorization, Faculty of Sciences, Ibn Zohr University, 80060, Agadir, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the current study, we utilized molecular modeling and simulation approaches to define putative potential molecular targets for Burdock Inulin, including inflammatory proteins such as iNOS, COX-2, TNF-alpha, IL-6, and IL-1β. Molecular docking results revealed potential interactions and good binding affinity for these targets; however, IL-1β, COX-2, and iNOS were identified as the best targets for Inulin. Molecular simulation-based stability assessment demonstrated that inulin could primarily target iNOS and may also supplementarily target COX-2 and IL-1β during DSS-induced colitis to reduce the role of these inflammatory mechanisms. Furthermore, residual flexibility, hydrogen bonding, and structural packing were reported with uniform trajectories, showing no significant perturbation throughout the simulation. The protein motions within the simulation trajectories were clustered using principal component analysis (PCA). The IL-1β-Inulin complex, approximately 70% of the total motion was attributed to the first three eigenvectors, while the remaining motion was contributed by the remaining eigenvectors. In contrast, for the COX2-Inulin complex, 75% of the total motion was attributed to the eigenvectors. Furthermore, in the iNOS-Inulin complex, the first three eigenvectors contributed to 60% of the total motion. Furthermore, the iNOS-Inulin complex contributed 60% to the total motion through the first three eigenvectors. To explore thermodynamically favorable changes upon mutation, motion mode analysis was carried out. The Free Energy Landscape (FEL) results demonstrated that the IL-1β-Inulin achieved a single conformation with the lowest energy, while COX2-Inulin and iNOS-Inulin exhibited two lowest-energy conformations each. IL-1β-Inulin and COX2-Inulin displayed total binding free energies of - 27.76 kcal/mol and - 37.78 kcal/mol, respectively, while iNOS-Inulin demonstrated the best binding free energy results at - 45.89 kcal/mol. This indicates a stronger pharmacological potential of iNOS than the other two complexes. Thus, further experiments are needed to use inulin to target iNOS and reduce DSS-induced colitis and other autoimmune diseases.

Indexed as

Cyclooxygenase 2Interleukin-1betaInulinMolecular Docking SimulationNitric Oxide Synthase Type IIAnimalsColitisHydrogen BondingMiceModels, MolecularMolecular Dynamics SimulationProtein BindingTumor Necrosis Factor-alphaCyclooxygenase 2Interleukin-1betaInulinNitric Oxide Synthase Type IINos2 protein, mouseTumor Necrosis Factor-alphaDockingFree energyInulinSimulationStructural modeling

Identifiers

PMID38760355
PMCPMC11101470

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.