Identifying the active natural compounds remains a challenge for drug discovery, and new algorithms need to be developed to predict active ingredients from complex natural products. Here, we proposed Meta-DEP, a Meta-paths-based Drug Efficacy Prediction based on drug-protein-disease heterogeneity network, where Meta-paths contain all the shortest paths between drug targets and disease-related proteins in the network and drug efficacy is measured by a predictive score according to drug disease network proximity. Experiments show that Meta-DEP performs better than traditional network topology analysis on drug-disease interaction prediction task.
View Article and Find Full Text PDFBackground: Metastasis is a major contributor to mortality in patients with esophageal squamous cell carcinoma (ESCC); effective treatment is currently lacking. Erianin, a bioactive ingredient of traditional Chinese medicine, Dendrobium chrysotoxum, has anti-tumor activity against multiple human tumors. However, the effect and associated underlying mechanism of Erianin on ESCC antimetastasis remain unclear.
View Article and Find Full Text PDFBackground: Understanding how island ecosystems change across habitats is a major challenge in ecological conservation under the conditions of habitat degradation. According to a 2-year investigation on Dong Island of the Paracel Islands, South China Sea, we assessed the roles of different habitats at the species level and community level of birds using topological and network analysis.
Results: In addition to the thousands of Sula sula (a large-sized arboreal seabird) inhabiting the forests, there were 56 other bird species were recorded, representing 23 families and 12 orders, ranging in habitats of wetlands, forests, shrublands, grasslands, and/or beaches.