Application of a Bioinformatics-Based Approach to Identify Novel Putative in vivo BACE1 Substrates. (January 2013)

• Record Type: Journal Article
• Authors: Johnson, Joseph L.; Chambers, Emily; Jayasundera, Keerthi
• Is Part Of: Biomedical engineering and computational biology. Volume 5(2013)
• Publication Date: 2013-01
• Subjects: bioinformatics -- BACE1 -- protease -- Alzheimer's disease -- protease substrates; Biomedical engineering -- Periodicals; Computational biology -- Periodicals; Biomedical Engineering; Computational Biology; Biomedical engineering; Computational biology; Electronic journals; Periodicals; Fulltext; Internet Resources; Periodicals; Periodicals; 610.2805
• DOI: 10.4137/BECB.S8383
• Languages: English
• ISSNs: 1179-5972

Abstract

BACE1, a membrane-bound aspartyl protease that is implicated in Alzheimer's disease, is the first protease to cut the amyloid precursor protein resulting in the generation of amyloid-β and its aggregation to form senile plaques, a hallmark feature of the disease. Few other native BACE1 substrates have been identified despite its relatively loose substrate specificity. We report a bioinformatics approach identifying several putative BACE1 substrates. Using our algorithm, we successfully predicted the cleavage sites for 70% of known BACE1 substrates and further validated our algorithm output against substrates identified in a recent BACE1 proteomics study that also showed a 70% success rate. Having validated our approach with known substrates, we report putative cleavage recognition sequences within 962 proteins, which can be explored using in vivo methods. Approximately 900 of these proteins have not been identified or implicated as BACE1 substrates. Gene ontology cluster analysis of the putative substrates identified enrichment in proteins involved in immune system processes and in cell surface protein-protein interactions.