Email Us: info@lupinepublishers.com
Call Us: +1 (914) 407-6109
57 West 57th Street, 3rd floor, New York - NY 10019, USA
Lupine Publishers Group
Lupine Publishers
ISSN: 2638-6062
Short communication(ISSN: 2638-6062) 
How the Artificial Intelligence Tool iPGK-PseAAC is Working in Predicting lysine Phosphoglycerylation Sites in Proteins
Volume 4 - Issue 2Kuo-Chen Chou*
-
Author Information
Open or Close
Kuo-Chen Chou Gordon Life Science Institute, Boston, Massachusetts 02478, United States of America
Received: March 10, 2020; Published: March 17, 2020
DOI: 10.32474/PRJFGS.2020.04.000181
Full Text
PDFAbstract
In 2016 a very powerful AI (artificial intelligence) tool has been established for predicting lysine succinylation sites in proteins, one of the most important post modifications in proteins [1].
-
Mark E Smith
Bio chemistry
University of Texas Medical Branch, USA -
Lawrence A Presley
Department of Criminal Justice
Liberty University, USA -
Thomas W Miller
Department of Psychiatry
University of Kentucky, USA -
Gjumrakch Aliev
Department of Medicine
Gally International Biomedical Research & Consulting LLC, USA -
Christopher Bryant
Department of Urbanisation and Agricultural
Montreal university, USA -
Robert William Frare
Oral & Maxillofacial Pathology
New York University, USA -
Rudolph Modesto Navari
Gastroenterology and Hepatology
University of Alabama, UK -
Andrew Hague
Department of Medicine
Universities of Bradford, UK -
George Gregory Buttigieg
Maltese College of Obstetrics and Gynaecology, Europe -
Chen-Hsiung Yeh
Oncology
Circulogene Theranostics, England -
.png)
Emilio Bucio-Carrillo
Radiation Chemistry
National University of Mexico, USA -
.jpg)
Casey J Grenier
Analytical Chemistry
Wentworth Institute of Technology, USA -
Hany Atalah
Minimally Invasive Surgery
Mercer University school of Medicine, USA -
Abu-Hussein Muhamad
Pediatric Dentistry
University of Athens , Greece
