QSAR ANALYSIS OF 5-N-SUBSTITUTED-2-(SUBSTITUTED BENZENESULPHONYL) - GLUTAMAMINES AS ANTITUMOR AGENT

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Authors: Mr. Swapnil R. Patil, Mr. Avinash M. Patil, Ms. Harshada A Patil, Ms. Asmita D Vasaikar, Prof. Dr. Pankaj M Chaudhari
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Abstract

A data set of five was subjected to a quantitative structure–activity relationship (QSAR) analysis.The antitumor properties of N-substituted-2-(substituted Benzenesulphonyl)-glutamamine derivatives activity. Several kinds of descriptors, such as WHIM, 3DMorse, and 2D autocorrelationDescriptors were employed to establish a numerical correlation between antitumor activity andstructural characteristics. Six parametric models were discovered, according to a multiple linear regression analysisto be optimal for simulating the current set of compounds' log (TWI) activity. For optimal QSARThe model's R2 statisticsFor the current set of compounds, =0.9103; Q=30.385; N=32. ThisRidge and the leave-one-out (LOO) cross-validation method were used to further validate the model regression. Keywords: QSAR, 2D autocorrelation, (LOO) cross-validation, Ridge regression analysis, Model.

Fields of Study & Subjects

Computational Drug Discovery Methods Synthesis and biological activity Graph theory and applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
19 January 2026