A Computational Model for Predicting ADAM17 Substrate Specificity

Abstract

Tumor necrosis factor-alpha converting enzyme (TACE) is a membrane-anchored protein that releases the soluble forms of many proteins by a process called ectodomain shedding. TACE has been considered as a potential target in a lot of diseases in autoimmune diseases and in cancers recently. In spite a lot of protein substrates have been found these years for TACE, the substrate selection of TACE is still not known. In this paper, a TACE-peptide complex was constructed, and used for the prediction of substrate sequences and cleavage sites. The result could be useful for understanding the substrate specificity of TACE, and designing better TACE inhibitors in future.