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Title : In Silico Prediction of Betulinic Acid Derivatives’ Cytotoxicity: Relationship between Topological Descriptors and CC50 Value
Author :

IHSANUL ARIEF (1) Prof. Dr.rer.nat. Harno Dwi Pranowo, M.Si. (2) Prof. Drs. Mudasir, M.Eng., Ph.D. (3) Prof. Dr. rer. nat. Karna Wijaya, M.Eng. (4)

Date : 4 2021
Keyword : Betulinic acid, cytotoxicity,modeling,topological descriptor Betulinic acid, cytotoxicity,modeling,topological descriptor
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 r 2 training of 0.776; Fcal/Ftab of 4.503; r 2 test of 0.985; r 2 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 distancebased 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)
Group of Knowledge : Kimia
Original Language : English
Level : Internasional
Status :
Published
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1 KEM_884_282.pdf
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2 KEM_884_282-baru.pdf
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3 Ihsanul Arif In Silico jurnal_2083212_3a87584d64cf0dae6764fbcb02ba5c5b.pdf
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