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Identification of natural FGFR3 inhibitor for glioma using integrated computational and microRNA regulatory analysis.

Overview

Authors: Shehla Javaid1,2, Nouman Ali2,3, Samiah Shahid1, Muhamamd Nouman Majeed3
ORCID iDs: Shehla Javaid, Nouman Ali
  1. Institute of Molecular Biology and Biotechnology, University of Lahore,Lahore, Pakistan
  2. Department of Molecular Biosciences, Faculty of physical and Biological sciences, Rashid Latif Khan University, Lahore, Pakistan
  3. Department of Biotechnology, Faculty of Science and Technology, University of Central Punjab,Lahore, Pakistan
Institutions: University of Lahore (Pakistan); University of Central Punjab (Pakistan)
Journal: Scientific reports, volume 16, issue 1, article 16370
Dates: received 20 December 2025; accepted 23 March 2026; published online 5 April 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41598-026-45845-y · PMID 41936598 · PMCID PMC13212756 · OpenAlex W7149930238
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: computational modeling (no new data) (modality), human (organism), other condition (population), cellular / molecular (subfield)
Methods: Smoothing, state filtering, decompositions
Keywords: Glioblastoma, FGFR3, Guggulsterone, Molecular docking, Molecular dynamics simulation, Natural inhibitor, Biochemistry, Cancer, Computational biology and bioinformatics, Drug discovery
MeSH: Brain Neoplasms*, Glioma*, MicroRNAs*, Pregnenediones*, Protein Kinase Inhibitors*, Receptor, Fibroblast Growth Factor, Type 3*, Gene Expression Regulation, Neoplastic, Humans, Hydrogen Bonding, Molecular Docking Simulation, Molecular Dynamics Simulation (* major topic)
Topic: Fibroblast Growth Factor Research (Molecular Biology, Biochemistry, Genetics and Molecular Biology), according to OpenAlex
Citations: not cited yet (Europe PMC); 49 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

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Data

Datasets cited

Data availability statement

The paper has a data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

Read it in the paper: doi.org/10.1038/s41598-026-45845-y.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 4 authors, 10 keywords, 11 MeSH terms, 44 references.

Cite

This paper

Javaid, S., Ali, N., Shahid, S., & Majeed, M. N. (2026). Identification of natural FGFR3 inhibitor for glioma using integrated computational and microRNA regulatory analysis. Scientific reports, 16(1), 16370. https://doi.org/10.1038/s41598-026-45845-y

BibTeX

@article{javaid2026identification,
author = {Javaid, Shehla and Ali, Nouman and Shahid, Samiah and Majeed, Muhamamd Nouman},
title = {{Identification of natural FGFR3 inhibitor for glioma using integrated computational and microRNA regulatory analysis}},
journal = {Scientific reports},
year = {2026},
month = apr,
volume = {16},
number = {1},
pages = {16370},
publisher = {Nature Publishing Group},
issn = {2045-2322},
doi = {10.1038/s41598-026-45845-y},
url = {https://doi.org/10.1038/s41598-026-45845-y},
pmid = {41936598},
pmcid = {PMC13212756}
}

RIS

TY - JOUR
AU - Javaid, Shehla
AU - Ali, Nouman
AU - Shahid, Samiah
AU - Majeed, Muhamamd Nouman
TI - Identification of natural FGFR3 inhibitor for glioma using integrated computational and microRNA regulatory analysis
T2 - Scientific reports
J2 - Sci Rep
PY - 2026
DA - 2026/04/05
VL - 16
IS - 1
SP - 16370
SN - 2045-2322
PB - Nature Publishing Group
DO - 10.1038/s41598-026-45845-y
UR - https://doi.org/10.1038/s41598-026-45845-y
LA - en
ER -

CSL-JSON

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