Characterization and Identification of Lysine Succinylation Sites based on Deep Learning Method.

ABSTRACT: Succinylation is a type of protein post-translational modification (PTM), which can play important roles in a variety of cellular processes. Due to an increasing number of site-specific succinylated peptides obtained from high-throughput mass spectrometry (MS), various tools have been developed for computationally identifying succinylated sites on proteins. However, most of these tools predict succinylation sites based on traditional machine learning methods. Hence, this work aimed to carry out the succinylation site prediction based on a deep learning model. The abundance of MS-verified succinylated peptides enabled the investigation of substrate site specificity of succinylation sites through sequence-based attributes, such as position-specific amino acid composition, the composition of

SUBMITTER: Huang KY 

PROVIDER: S-EPMC6838336 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature