id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
10_1101-2021_01_07_425697	Luo, Yin	Capsule network for protein ubiquitination site prediction	2021	14	.pdf	application/pdf	5391	552	59	Capsule network for protein ubiquitination site prediction Capsule network for protein ubiquitination site years, some calculation methods have been developed to predict potential ubiquitination sites. this paper, a deep learning model, "Caps-Ubi," is proposed that uses a capsule network for protein network layer are used as a feature extractor to obtain the functional domains in the protein Data of protein ubiquitination sites the amino acid sequence around the protein ubiquitination site; namely, one-of-K encoding and the performance of various window sizes in one-of-21 and amino acid continuous encoding modes. modes is the best on the capsule network: this proposed Caps-Ubi model achieved an accuracy, In this paper, a new deep learning model for predicting protein ubiquitination sites is proposed, ubiquitination sites in proteins. Large-scale prediction of protein ubiquitination sites machine learning method with substrate motifs to predict ubiquitin-conjugation site on machine learning method with substrate motifs to predict ubiquitin-conjugation site on 	./cache/10_1101-2021_01_07_425697.pdf	./txt/10_1101-2021_01_07_425697.txt