HPRNA: Predicting synergistic drug combinations for angina pectoris based on human pathway relationship network algorithm.

ABSTRACT: Over the years, synergistic drug combinations therapies have attracted widespread attention due to its advantages of overcoming drug resistance, increasing treatment efficacy and decreasing toxicity. Compared to lengthy medical drugs experimental screening, mathematical models and algorithms show great potential in synergistic drug combinations prediction. In this paper, we introduce a novel mathematical algorithm, the Human Pathway Relationship Network Algorithm (HPRNA), which is designed to predict synergistic drug combinations for angina pectoris. We first reconstruct a novel angina pectoris drug dataset, which include drug name, drug metabolism, chemical formula, targets and pathways, then construct a comprehensive human pathway network based on the genetic similarity of the pathways w

SUBMITTER: Zhou M 

PROVIDER: S-EPMC11801531 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature