UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 10 | October 2026

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Published in:

Volume 12 Issue 5
May-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2505856


Registration ID:
562943

Page Number

h569-h583

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Title

Drug discovery against FGFR2 mutation in lungs cancer approach using NGS and medicinal plant

Abstract

Lung cancer remains one of the most prevalent and deadly malignancies worldwide, necessitating the development of more effective and targeted therapeutic strategies. The integration of Next-Generation Sequencing (NGS) technologies with traditional medicinal plant-based drug discovery offers a promising avenue for identifying novel bioactive compounds and their molecular targets. This study explores a combinatorial approach where high-throughput NGS data is utilized to decode the transcriptomic and genomic landscapes of lung cancer, enabling the identification of key oncogenes, tumor suppressor genes, and signaling pathways involved in disease progression. Concurrently, bioactive phytochemicals from selected medicinal plants are screened for their potential to modulate these molecular targets. In silico analyses including protein-ligand docking, pharmacokinetic profiling, and toxicity prediction are employed to validate the therapeutic relevance of candidate compounds. Structural modeling and validation using tools like PyMOL, ERRAT, and Ramachandran plot analysis, further ensure the accuracy of target-ligand interactions. This integrative methodology not only accelerates the drug discovery pipeline but also leverages the untapped reservoir of natural compounds in combating non-small cell lung cancer (NSCLC). The findings of this study underscore the potential of combining NGS-based target discovery with phytochemical screening as a cost-effective, precise, and innovative strategy for anti-cancer drug development

Key Words

NGS Analysis, Molecular docking, Lung cancer, FGFR2, Structure Analysis, Molecular modeling

Cite This Article

"Drug discovery against FGFR2 mutation in lungs cancer approach using NGS and medicinal plant", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.h569-h583, May-2025, Available :http://www.jetir.org/papers/JETIR2505856.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Drug discovery against FGFR2 mutation in lungs cancer approach using NGS and medicinal plant", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. pph569-h583, May-2025, Available at : http://www.jetir.org/papers/JETIR2505856.pdf

Publication Details

Published Paper ID: JETIR2505856
Registration ID: 562943
Published In: Volume 12 | Issue 5 | Year May-2025
DOI (Digital Object Identifier): https://doi.org/10.56975/jetir.v12i5.562943
Page No: h569-h583
Country: GREATER NOIDA, Uttar Pradesh, India .
Area: Medical Science
ISSN Number: 2349-5162
Publisher: IJ Publication


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