In silico prediction of betulinic acid derivatives’ cytotoxicity: Relationship between topological descriptors and cc50 value

Arief, Ihsanul and Pranowo, Harno Dwi and Mudasir, Mudasir and Wijaya, Karna (2021) In silico prediction of betulinic acid derivatives’ cytotoxicity: Relationship between topological descriptors and cc50 value. Key Engineering Materials, 884 KE. 282 – 289. ISSN 10139826

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Abstract

Modeling of the relationship between structure and cytotoxicity has helped in the process of designing safer new drug compounds. In this study, modeling was carried out between the structures of 29 betulinic acid derivatives with their cytotoxicity. The modeling is done by using multiple linear regression (MLR) techniques. In the model, an equation is obtained by involving five descriptors and has statistical parameters as r2 training of 0.776; Fcal/Ftab of 4.503; r2 test of 0.985; r2 m of 0.971. The five descriptors involved in the equation are TDB2e (3D topological distance-based autocorrelation-lag 2/weighted by Sanderson electronegativities), TDB9s (3D topological distance-based autocorrelation-lag 9/weighted by I-state), RDF50m (radial distribution function-050/weighted by relative mass), RDF140m (radial distribution function-140/weighted by relative mass), and RDF10s (radial distribution function-010/weighted by relative I-state). The equation could be used to design the new betulinic acid derivatives with lower predicted cytotoxicities regarding the coefficients of the descriptors. In this case, the new substituent is chosen to enhance the value of RDF140m and RDF10s, while also to make the value of TDB23, TDB9s, and RDF50m getting lower, so the CC50 value will rise (the compound become less toxic to the normal cell). © 2021 Trans Tech Publications Ltd, Switzerland.

Item Type: Article
Additional Information: Cited by: 1
Uncontrolled Keywords: Autocorrelation; Cytotoxicity; Distribution functions; Linear regression; Structural design; Acid derivative; Auto correlation; Betulinic acid; Descriptors; Distance-based; Modeling; Radial distribution functions; Relative mass; Topological descriptors; Topological distance; Topology
Subjects: Q Science > QD Chemistry
Divisions: Faculty of Mathematics and Natural Sciences > Chemistry Department
Depositing User: Sri JUNANDI
Date Deposited: 06 Oct 2024 11:36
Last Modified: 06 Oct 2024 11:36
URI: https://ir.lib.ugm.ac.id/id/eprint/8738

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