Editorial: Computational Resources for Understanding Biomacromolecular Covalent Modifications

Yu Xue; Hsien-Da Huang; Jiangning Song; Jian Ren; Dong Xu

doi:10.3389/fcell.2021.728127

Editorial: Computational Resources for Understanding Biomacromolecular Covalent Modifications

Front Cell Dev Biol. 2021 Jul 14:9:728127. doi: 10.3389/fcell.2021.728127. eCollection 2021.

Authors

Yu Xue¹, Hsien-Da Huang², Jiangning Song³, Jian Ren⁴, Dong Xu⁵

Affiliations

¹ Key Laboratory of Molecular Biophysics of Ministry of Education, Bioinformatics and Molecular Imaging Key Laboratory, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China.
² School of Life and Health Sciences, Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, China.
³ Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC, Australia.
⁴ School of Life Sciences, Sun Yat-sen University, Guangzhou, China.
⁵ Department of Electrical Engineer and Computer Science and Christopher S. Bond Life Science Center, University of Missouri, Columbia, MO, United States.

No abstract available

Keywords: DNA modification; RNA modification; biomacromolecular covalent modification; data integration; deep learning; machine learning; post-translational modification.

Publication types

Editorial