Visualizing Phytochemical-Protein Interaction Networks: Momordica charantia and Cancer

ABSTRACT: The in silico study of medicinal plants is a rapidly growing field. Techniques such as reverse screening and network pharmacology are used to study the complex cellular action of medicinal plants against disease. However, it is difficult to produce a meaningful visualization of phytochemical-protein interactions (PCPIs) in the cell. This study introduces a novel workflow combining various tools to visualize a PCPI network for a medicinal plant against a disease. The five steps are 1) phytochemical compilation, 2) reverse screening, 3) network building, 4) network visualization, and 5) evaluation. The output is a PCPI network that encodes multiple dimensions of information, including subcellular location, phytochemical class, pharmacokinetic data, and prediction probability. As a proof of c

SUBMITTER: Briones Y 

PROVIDER: S-EPMC9580883 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature