A systematic exploration of unexploited genes for oxidative stress in Parkinson’s disease

Human disease-associated gene data are accessible through databases, including the Open Targets Platform, DisGeNET, miRTex, RNADisease, and PubChem. However, missing data entries in such databases are anticipated because of factors, such as errors/biases by curators and text mining failures. Additionally, the extensive research on human diseases has resulted in challenges to register comprehensive data. The lack of essential data in databases hinders knowledge sharing and should be addressed. Therefore, we propose an analysis pipeline to explore missing entries of unexploited genes in the human disease-associated gene databases. To demonstrate this, we used the pipeline for genes in Parkinson’s disease with oxidative stress, which revealed two unexploited genes: nuclear protein 1 ( NUPR1 ) and ubiquitin-like with PHD and ring finger domains 2 ( UHRF2 ). The proposed methodology and findings facilitate the identification of disease-associated genes that are not completely represented in existing databases, thereby facilitating easier access to the potential human disease-related functional genes.