Manuscript Number : IJSRSET184969
Comparative Network Pharmacology Based on Tanimoto Coefficient with Forbes-2 Coefficient
Authors(3) :-Basirun, Farit Mochammad Afendi, Wisnu Ananta Kusuma
Research on active compound contained in medicinal plant as ingredient for creating jamu has been widely practiced, but a detailed explanation of the mechanism of work in molecular and pharmacological still needs to be developed. In research of in silico, one of the common approaches done to look at the work mechanism of a compound was considering the similarity aspects of chemical structures between compounds. Measurement of similarity between compounds in general using Tanimoto coefficient. Based on the research result toward clustering 79 coefficient similarity to measure closseness of compounds, in addition Tanimoto, there was Forbes-2 coefficient found better similarity. Based on the statement the researcher was interested to do research with the aim of evaluating the Network Pharmacology medicinal plants that play the role of DM Type 2 by replacing Tanimoto coefficient with Forbes-2 coefficient. The evaluation method in this research used Mean Absolute Deviation (MAD). The result of the pharmacology network analysis using the Tanimoto coefficient was better compared to the Forbes-2 coefficient
Basirun
DM Type 2, Jamu, Forbes-2 Coefficient, Tanimoto Coefficient, MAD
Publication Details
Published in :
Volume 4 | Issue 9 | July-August 2018 Article Preview
Department of Statistics, Bogor Agricultural University, Bogor, Indonesia
Farit Mochammad Afendi
Department of Computer Science, Bogor Agricultural University, Bogor, Indonesia
Wisnu Ananta Kusuma
Tropical Biopharmaca Research Center Bogor Agriculture University, Bogor, Indonesia
Date of Publication :
2018-07-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) :
348-355
Manuscript Number :
IJSRSET184969
Publisher : Technoscience Academy
Journal URL :
https://ijsrset.com/IJSRSET184969