Jambura Journal of Chemistry
Vol 1, No 1 (2019): February

Kajian HKSA Antimalaria Senyawa Turunan Quinolon-4(1H)-imines Menggunakan Metode MLR-ANN

Jafar La Kilo (Program Studi Kimia, FMIPA Universitas Negeri Gorontalo)
Akram La Kilo (Program Studi Kimia, FMIPA, Universitas Negeri Gorontalo)



Article Info

Publish Date
18 Mar 2019

Abstract

Quantitatif Structure-Activity Relationship (QSAR) study of 22 antimalarial compounds of Quinolon-4(1H)-imines derivatives has been done using multilinear regression (MLR) and artificial neural network (ANN) methods. The best QSAR model was obtained from ANN analysis indicated by its higher correlation coefficient (r2) compared to MLR method, i.e. 0.931 with most influential descriptors is qC1, qC5, qC11, qN14 and log P.Keywords: Quinolon-4(1H)-imines, Antimalarial, QSAR, MLR-ANNTelah dilakukan kajian analisis Hubungan Kuantitatif Struktur Aktivitas (HKSA) terhadap 22 senyawa antimalaria turunan Quinolon-4(1H)-imines menggunakan metode regresi multilinear (MLR) dan artificial neural network (ANN). Model HKSA terbaik diperoleh dari hasil analisis menggunakan metode ANN yang ditunjukkan oleh nilai koefisien korelasi (r2) paling tinggi dibandingkan dengan metode MLR yaitu sebesar 0,931 dengan deskriptor paling berpengaruh terhadap aktivitas antimalaria turunan Quinolon-4(1H)-imines, yaitu qC1, qC5, qC11, qN14 dan log P.Kata Kunci: Quinolon-4(1H)-imines, Antimalaria, HKSA, MLR-ANN

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Journal Info

Abbrev

jjc

Publisher

Subject

Chemistry

Description

Jambura Journal of Chemistry is peer-reviewed and open access journal published by Chemistry Depertment, Faculty Mathematic and Natural Science. Jam.J.Chem that publishes original research articles, review articles, as well as short communication in all areas of chemistry including applied ...