DEEPre: sequence-based enzyme EC number prediction by deep learning

Yu Li(King Abdullah University of Science and Technology), Xin Gao(East China Normal University), Bingqing Xie(Illinois Institute of Technology), Ramzan Umarov(King Abdullah University of Science and Technology), Ming Fan(Hangzhou Dianzi University), Sheng Wang(King Abdullah University of Science and Technology), Lihua Li(Wuhan Wudong Hospital)
Bioinformatics
October 20, 2017
10.1093/bioinformatics/btx680
Cited by 309

Related Papers

TriTrypDB: a functional genomic resource for the Trypanosomatidae
|Nucleic Acids Research|2009|1k
Physiologic Medium Rewires Cellular Metabolism and Reveals Uric Acid as an Endogenous Inhibitor of UMP Synthase
|Cell|2017|661
ToxoDB: an integrated Toxoplasma gondii database resource
|Nucleic Acids Research|2007|542
Using OrthoMCL to Assign Proteins to OrthoMCL‐DB Groups or to Cluster Proteomes Into New Ortholog Groups
|Current Protocols in Bioinformatics|2011|461
BioSeq-Analysis2.0: an updated platform for analyzing DNA, RNA and protein sequences at sequence level and residue level based on machine learning approaches
|Nucleic Acids Research|2019|406