Analisis Graph Mining dalam Penentuan Senyawa Dan Tanaman Obat Indonesia Sebagai Antihipertensi

Abstract

Hypertension, also known as high blood pressure, is a degenerative disease whose prevalence tends to increase every year. People in Indonesia generally treat this disease by using a mixture of several types of herbal plants or so-called herbs. This study aims to find out the potential of compounds and plants that have effectiveness as antihypertensives by combining the concept of multicomponent-multi-target with a bioinformatics approach. This study aims to find out the potential of compounds and medicinal plants in Indonesia that have effectiveness as antihypertensives using graph mining analysis. Graph tracing techniques can be applied to search for compounds and plants related to target proteins in a disease. Patikan kebo (Euphorbia factor Ti2, betaAmyrin, alpha-Amyrin), mango (3-Carene, L-Histidine), cayenne pepper (Capsanthin, Capsorubin, Solasonine), papaya (L-Histidine, Sterol, Caffeine), and fenugreek ( L-Histidine) is the best plant that acts as an antihypertensive agent by targeting 4 proteins or about 80% of the total 5 significant proteins in hypertension.

Prediction of Carcinogenic, Mutagenic, Hepatotoxic, and LD50 Toxicity of Herbs Euphorbia hirta and Camellia sinensis Leaf Compounds as In Silico Antihypertensive Agents

“…Toxicity prediction comprises tests for carcinogenicity, mutagenicity, hepatotoxicity, and lethal dose 50 (LD50). The test compounds E. hirta and C. sinensis used in this toxicity prediction were fulfiled from various studies, such as: (Setiani et al, 2022;Linfang et al, 2012;Masruroh & Tukiran, 2017;Ahmad, 2013;Khan & Mukhtar, 2013).…”