EzyPred: a top-down approach for predicting enzyme functional classes and subclasses.
By Hongbin Shen, Kuo-Chen Chou. 2007
251 citations recorded by the source corpus.
Subfields: Molecular Biology
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In Molecular Biology
Citations in the corpus
- Multitask Learning for Protein Subcellular Location Prediction (2011, unknown): “Index Terms Protein subcellular localization; multitask learning.”
- mlDEEPre: Multi-Functional Enzyme Function Prediction With Hierarchical Multi-Label Deep Learning (2019, methodology): “As shown in Figure 1 in Shen and Chou (2007), the label space of the EC system has a tree structure.”
- Some remarks on protein attribute prediction and pseudo amino acid composition (2010, methodology): “…and Shen, 2006b; Chou and Shen, 2006c; Chou and Shen, 2007a; Chou and Shen, 2007b; Chou and Shen, 2007c; Chou and Shen, 2008b; Lee et al., 2005; Shen and Chou, 2007b; Shen and Chou, 2007c; Shen and Chou, 2007d; Shen et al., 2007), enzyme functional class (Chou and Cai, 2004a; Chou and Cai,…”
- Pseudo Amino Acid Composition and its Applications in Bioinformatics, Proteomics and System Biology (2009, background): “The concept of PseAAC was also be extended to cover the sequential evolution information for predicting protein membrane protein type [54], enzyme functional classes [53], protease types [178,179], and protein quaternary structural attributes [70].”
- DEEPre: sequence-based enzyme EC number prediction by deep learning (2017, methodology): “For the cross-fold validation, in which training and testing are based on different parts within the same dataset, we compare our method with five other methods, including two state-of-the-art methods, EzyPred (Shen and Chou, 2007) and SVM-Prot (Li et al. , 2016), and three baseline methods.”
- REVIEW : Recent advances in developing web-servers for predicting protein attributes (2009, methodology): “Recently, a top-down automated method called “ Ezy-Pred ” was developed [126].”