Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm.

ABSTRACT: Jamu is an Indonesian traditional herbal medicine that has been practiced for generations. Jamu is made from various medicinal plants. Each plant has several compounds directly related to the target protein that are directly associated with a disease. A pharmacological graph can form relationships between plants, compounds, and target proteins. Research related to the prediction of Jamu formulas for some diseases has been carried out, but there are problems in finding combinations or compositions of Jamu formulas because of the increase in search space size. Some studies adopted the drug-target interaction (DTI) implemented using machine learning or deep learning to predict the DTI for discovering the Jamu formula. However, this approach raises important issues, such as imbalanced and high

SUBMITTER: Kusuma WA 

PROVIDER: S-EPMC9403330 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature