Type
SoftwareAuthors
Lam, Jordy HomingLi, Yu
Zhu, Lizhe
Umarov, Ramzan
Jiang, Hanlun
Héliou, Amélie
Sheong, Fu Kit
Liu, Tianyun
Long, Yongkang

Li, Yunfei
Fang, Liang
Altman, Russ B.
Chen, Wei
Huang, Xuhui
Gao, Xin

KAUST Department
Computational Bioscience Research Center (CBRC)Computer Science
Computer Science Program
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Structural and Functional Bioinformatics Group
Date
2019-05-28Permanent link to this record
http://hdl.handle.net/10754/666990
Metadata
Show full item recordPublisher
GithubAdditional Links
https://github.com/NucleicNet/NucleicNetRelations
Is Supplement To:- [Article]
Lam, J. H., Li, Y., Zhu, L., Umarov, R., Jiang, H., Héliou, A., … Gao, X. (2019). A deep learning framework to predict binding preference of RNA constituents on protein surface. Nature Communications, 10(1). doi:10.1038/s41467-019-12920-0. DOI: 10.1038/s41467-019-12920-0 Handle: 10754/659549