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

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 1 | January 2026

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Published in:

Volume 10 Issue 4
April-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2304466


Registration ID:
511868

Page Number

e474-e478

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Title

Statistical Approach to Prediction of Polarizability (α) of Phenol’s & its Derivatives as anti-Leukaemia agents

Abstract

QSAR studies have been performed on 49 molecules of phenol and its derivatives. Phenol and its derivatives are known to induce caspase-mediated apoptosis activity and cytotoxicity on various cancer cell lines. Quantitative structure-activity relationship studies on the cellular apoptosis and cytotoxicity of phenolic compounds have been investigated recently by Selassie and colleagues1 wherein models were developed for various carcinogenic cell lines. These quantitative structure-activity relationship models are based on few calculated and experimentally obtained physicochemical parameter Polarizability (α) The paper deals with structure-activity relationships of phenols and its derivatives for the development of predictive models from several descriptors. To developing the models for Polarizability (α) of phenol derivatives we used descriptors like Mor04m, Mor23m, FDI, RDF045m, MATS5p, R3e, eHOMO, eLUMO and the best model proposed for Polarizability (α) of Phenol’s & its Derivatives.

Key Words

Polarizability, QSAR, Molecular descriptors, 3D MoRSE descriptors, FDI descriptors, RDF descriptors, Moreau autocorrelation descriptors, correlation coefficient. PRESS, SPRESS, R2cv, PSE, LSE

Cite This Article

"Statistical Approach to Prediction of Polarizability (α) of Phenol’s & its Derivatives as anti-Leukaemia agents", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.e474-e478, April-2023, Available :http://www.jetir.org/papers/JETIR2304466.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

"Statistical Approach to Prediction of Polarizability (α) of Phenol’s & its Derivatives as anti-Leukaemia agents", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 4, page no. ppe474-e478, April-2023, Available at : http://www.jetir.org/papers/JETIR2304466.pdf

Publication Details

Published Paper ID: JETIR2304466
Registration ID: 511868
Published In: Volume 10 | Issue 4 | Year April-2023
DOI (Digital Object Identifier):
Page No: e474-e478
Country: Khandwa, Madhya Pradesh, India .
Area: Chemistry
ISSN Number: 2349-5162
Publisher: IJ Publication


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