A deep learning method to predict bacterial ADP-ribosyltransferase toxins

• Main Authors: ZHENG, Dandan, ZHOU, Siyu, CHEN, Lihong, PANG, Guansong, YANG, Jian
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Artificial Intelligence and Robotics; Bioinformatics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/9033; https://ink.library.smu.edu.sg/context/sis_research/article/10036/viewcontent/btae378_pvoa_cc_by.pdf
• Institution: Singapore Management University

Motivation: ADP-ribosylation is a critical modification involved in regulating diverse cellular processes, including chromatin structure regulation, RNA transcription, and cell death. Bacterial ADP-ribosyltransferase toxins (bARTTs) serve as potent virulence factors that orchestrate the manipulation...