ATD: a comprehensive bioinformatics resource for deciphering the association of autophagy and diseases

Autophagy is the natural, regulated, destructive mechanism of the eukaryotes cell that disassembles unnecessary or dysfunctional components. In recent years, the association between autophagy and diseases has attracted more and more attention, but our understanding of the molecular mechanism about the association in the system perspective is limited and ambiguous. Hence, the authors developed the comprehensive bioinformatics resource Autophagy To Disease (ATD, to archive autophagy-associated diseases. This resource provides bioinformatics annotation system about genes and chemicals about autophagy and human diseases by extracting results from previous studies with text mining technology. Based on the big data from ATD, the authors found that some classes of disease tend to be related with autophagy, including respiratory disease, cancer, urogenital disease and digestive system disease. In addition, some classes of autophagy-related diseases were found to have a strong association among each other and constitute modules. Furthermore, the autophagy-disease-related genes (ADGs) were extracted from ATD and provided a novel algorithm- Optimized Random Forest with Label model to predict potential ADGs. This bioinformatics annotation system about autophagy and human diseases may provide a basic resource for the further detection of the molecular mechanisms of autophagy pathway to disease.

Authors: Wang W, Zhang P, Li L, Chen Z, Bai W, Liu G, Zhang L, Jia H, Li L, Yu Y, Liao M. ; Full Source: Database (Oxford). 2018 Jan 1;2018. doi: 10.1093/database/bay093.