CaspNeuroD: a knowledgebase of predicted caspase cleavage sites in human proteins related to neurodegenerative diseases

Background: A variety of neurodegenerative diseases (NDs) have been associated with deregulated caspase activation that leads to neuronal death. Caspases appear to be involved in the molecular pathology of NDs by directly cleaving important proteins. For instance, several proteins involved in Alzheimer’s disease, including β-amyloid precursor protein (APP) and presenilins, are known to be cleaved by caspases. Therefore, cell death pathway may play a central role in many neurological diseases, and targeting the important proteins that control the cell survival and death may potentially represent a therapeutic approach for chronic neurodegenerative disorders. Findings: We developed CaspNeuroD, a relational database of in silico predicted caspase cleavage sites in human proteins associated with NDs. The prediction has been done on collection of 249 human proteins reported in clinical studies of NDs using the recently published CaspDB Random Forest machine-learning model. This database could be used for identifying new caspase substrates and further our understanding of the caspase-mediated substrate cleavage in NDs. Conclusion: Our database provides information about potential caspase cleavage sites in a verified set of human proteins involved in NDs. It provides also information about the conservation of cleavage positions in corresponding orthologs, and information about the positions of single nucleotide polymorphisms and posttranslational modifications (PTMs) that may modulate the caspase cleavage efficiency. Database URL: caspdb.sanfordburnham.org/caspneurod.php .