LAUSR

Levodopa-induced dyskinesia (LID) is a side effect of Parkinson’s disease (PD) therapy. The time span from levodopa therapy initiation to the appearance of LID is variable between patients and several publications have investigated a potential genetic predisposition for this inter-individual heterogeneity. Here we present LIDPD, a publically available web resource summarizing literature-curated information on LID genetics. The current release contains 12 LID-related genes that have been extracted from the scientific literature. All curated data are available online, cross-referenced to external databases for further information. The core functionality of LIDPD is investigating the LIDassociated genes in a broader functional context through analysis of their relationships based on network models. These networks consist of nodes representing genes that are connected by edges representing different types of relationships. In the network datasets used in LIDPD interactions may represent physical interactions between proteins encoded by the respective genes, co-complex relationships or functional associations. This diversity allows for representing different aspects of the underlying biology. In particular, the network data were retrieved from the resources BioPlex, mentha and STRING. To identify and extract relevant networks from the proteome-wide data, we defined different sets of genes that we refer to as panel, input, and highlight sets. The panel set describes curated data, i.e., the 12 genes containing LIDassociated variants that have been extracted from the literature. The input set consists of data provided by the user, this