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In order to identify the pupylation sites in query pupylated proteins, a novel predictor PupS was presented based on pseudo-amino acid composition and extreme ...
Mar 27, 2014 · PupS is constructed on the pseudo-amino acid composition and trained with extreme learning machine. The jackknife cross-validation results on ...
To timely and effectively discover pupylation sites, here a novel computational predictor is proposed constructed on the Pseudo amino acid composition (PseAAC) ...
Aug 15, 2016 · Here, a novel bioinformatics tool named IMP-PUP is proposed to improve the prediction of pupylation sites. IMP-PUP is constructed on the ...
Missing: pseudo- extreme
Predicting pupylation sites in prokaryotic proteins using pseudo-amino acid composition and extreme learning machine. Resource URI: https://dblp.l3s.de/d2r ...
Apr 26, 2022 · The basic step for predicting pupylation protein is to extract features of the protein sequence, and it is a key step that affects the ...
Predicting pupylation sites in prokaryotic proteins using pseudo-amino acid composition and extreme learning machine. Pupylation is one of the most important ...
Predicting pupylation sites in prokaryotic proteins using pseudo-amino acid composition and extreme learning machine. YX Fan, HB Shen. Neurocomputing 128, 267 ...
PupDB is a web-based database with tools for browses and searches of pupylated proteins and interactive displays of protein structures and pupylation sites ...
In this work, we propose a new predictor, PSSM-PUP that uses evolutionary information of amino acids to predict pupylated lysine residues. Each lysine residue ...