American Chemical Society
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Computing Prediction and Functional Analysis of Prokaryotic Propionylation

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journal contribution
posted on 2017-10-23, 00:00 authored by Li-Na Wang, Shao-Ping Shi, Ping-Ping Wen, Zhi-You Zhou, Jian-Ding Qiu
Identification and systematic analysis of candidates for protein propionylation are crucial steps for understanding its molecular mechanisms and biological functions. Although several proteome-scale methods have been performed to delineate potential propionylated proteins, the majority of lysine-propionylated substrates and their role in pathological physiology still remain largely unknown. By gathering various databases and literatures, experimental prokaryotic propionylation data were collated to be trained in a support vector machine with various features via a three-step feature selection method. A novel online tool for seeking potential lysine-propionylated sites (PropSeek) ( was built. Independent test results of leave-one-out and n-fold cross-validation were similar to each other, showing that PropSeek is a stable and robust predictor with satisfying performance. Meanwhile, analyses of Gene Ontology, Kyoto Encyclopedia of Genes and Genomes pathways, and protein–protein interactions implied a potential role of prokaryotic propionylation in protein synthesis and metabolism.