Summary
IEICE Information and Communication Technology Forum
2020
Session Number:ICTF_1
Session:
Number:ICTF2020_paper_16
Artificial Intelligence for Glycation Site Prediction
Alhasan Alkuhlani, Walaa Gad, Mohamed Roushdy, Abdel-Badeeh M. Salem,
pp.-
Publication Date:2021/03/24
Online ISSN:2188-5079
DOI:10.34385/proc.64.ICTF2020_paper_16
Summary:
Glycation is a nonenzymatic process for binding glycan with proteins. It is related to the development many of human diseases. Due to the importance of glycation and the limitations of experimental techniques, artificial intelligence (AI) and computational methods are necessary for glycation site prediction. In this paper, we summarize the progress of glycation site prediction using AI techniques. Recently, various tools are developed for glycation site prediction. Our conclusions indicate that prediction performance still needs more improvement