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

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 12 Issue 3
March-2025
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2503614


Registration ID:
557585

Page Number

g107-g116

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Title

Ngs Data Analysis And Active Site Identification of Alpha-1-Acid Glycoprotein Bound To Potent Anti Tumor Compound UCN-01 In Malignant Brain Tumor

Abstract

Abstract: Malignant brain tumors are the most lethal among all the tumors originating from central nervous system. Alpha-1-acid glycoprotein (PDB ID: 7OUB) is an acute phase transport protein found in blood plasma in abundance. The high affinity of AGP for many molecules shows its effectiveness on the pharmacodynamics and pharmacokinetic properties of several small molecules. In this study, we used AGP bound to a ligand namely, staurosporine, an antitumor compound with its one of the hydroxylated forms UCN-01 to analyse its functionality in malignant brain tumor. In this approach, we used various software and database tools for structural analysis and sequence alignment of the sample, and integrated molecular docking with desired drugs to determine the respective binding affinities with AGP. Tools like PROSITE and STRING were utilized to determine significant information regarding tumor specific, nodular regions, families & domains, and for protein enrichment network analysis respectively. Furthermore, cleft analysis was done for interpreting potential active site and somatic mutation on multiple locations were predicted using COSMIC database which represents unchecked cellular growth due to sequential gaps leading to destruction. In conclusion, this computational study based on NGS provides new biological insights in malignancy research thereby representing alpha-1-acid glycoprotein as a strong candidate for further experimental studies in bioinformatics.

Key Words

Malignant brain tumor, NGS, Sequence alignment; Structural analysis; Molecular docking; COSMIC

Cite This Article

"Ngs Data Analysis And Active Site Identification of Alpha-1-Acid Glycoprotein Bound To Potent Anti Tumor Compound UCN-01 In Malignant Brain Tumor", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.g107-g116, March-2025, Available :http://www.jetir.org/papers/JETIR2503614.pdf

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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

"Ngs Data Analysis And Active Site Identification of Alpha-1-Acid Glycoprotein Bound To Potent Anti Tumor Compound UCN-01 In Malignant Brain Tumor", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. ppg107-g116, March-2025, Available at : http://www.jetir.org/papers/JETIR2503614.pdf

Publication Details

Published Paper ID: JETIR2503614
Registration ID: 557585
Published In: Volume 12 | Issue 3 | Year March-2025
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.44259
Page No: g107-g116
Country: GREATER NOIDA, Uttar Pradesh, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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