Prediction of Ubiquitination Sites by Using the Composition of k-Spaced Amino Acid Pairs
Zhen Chen; Yongzi Chen; Xiao Feng Wang; Chuan Wang; Ren-Xiang Yan; Ziding Zhang · 2011 · PLoS ONE
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
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Abstract
As one of the most important reversible protein post-translation modifications, ubiquitination has been reported to be involved in lots of biological processes and closely implicated with various diseases. To fully decipher the molecular mechanisms of ubiquitination-related biological processes, an initial but crucial step is the recognition of ubiquitylated substrates and the corresponding ubiquitination sites. Here, a new bioinformatics tool named CKSAAP_UbSite was developed to predict ubiquitination sites from protein sequences. With the assistance of Support Vector Machine (SVM), the highl
Abstract by Zhen Chen; Yongzi Chen; Xiao Feng Wang; Chuan Wang; Ren-Xiang Yan; Ziding Zhang, PLoS ONE (2011) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1371/journal.pone.0022930