Kai Wang
Shanghai University
5 Papers
39 Citations
Kai Wang is an academic researcher from Shanghai University. The author has contributed to research in topics: Biology & Protein subcellular localization prediction. The author has an hindex of 5, co-authored 5 publications.
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Papers
Prediction of deleterious non-synonymous SNPs based on protein interaction network and hybrid properties
Tao Huang,Ping Wang,Zhi-Qiang Ye,Heng Xu,Zhisong He,Kai-Yan Feng,Le-Le Hu,Weiren Cui,Kai Wang,Xiao Dong,Lu Xie,Xiangyin Kong,Yu-Dong Cai,Yu-Dong Cai,Yixue Li +14 more
TL;DR: Network features were found to be most important for accurate prediction and can significantly improve the prediction performance, and the results suggest that the protein interaction context could provide important clues to help better illustrate SAP's functional association.
Prediction and analysis of protein methylarginine and methyllysine based on Multisequence features.
TL;DR: This work proposes a method dedicated to predicting methylated sites of proteins and builds 11 and 9 predictors for methylarginine and methyllysine, respectively, and integrated them to predict methylation sites.
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Prediction and analysis of protein hydroxyproline and hydroxylysine.
TL;DR: A novel sequence-based method for identifying the two main types of hydroxylation sites – hydroxyproline and hydroxylysine was developed and suggested that physicochemical properties and biochemical properties and evolution information of amino acids contribute much to the identification of the protein hydroxyation sites, while structural disorder had little relation to protein hydoxylation.
PSCL: predicting protein subcellular localization based on optimal functional domains.
TL;DR: A new web server named PSCL is provided for plant protein subcellular localization prediction by employing optimized functional domains to show the possibilities of a protein located into each of those categories in ascending order.
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