ECPred: a tool for the prediction of the enzymatic functions of protein sequences based on the EC nomenclature

UniProt: the universal protein knowledgebase

(2018) The UniProt Consortium   NUCLEIC ACIDS RESEARCH

EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation

(2018) Afshine Amidi et al.   PeerJ

NewGOA: predicting new GO annotations of proteins by bi-random walks on a hybrid graph

(2017) Guoxian Yu et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

COFACTOR: improved protein function prediction by combining structure, sequence and protein–protein interaction information

(2017) Chengxin Zhang et al.   NUCLEIC ACIDS RESEARCH

Large-scale automated function prediction of protein sequences and an experimental case study validation on PTEN transcript variants

(2017) Ahmet Sureyya Rifaioglu et al.   PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS

UniProt-DAAC: domain architecture alignment and classification, a new method for automatic functional annotation in UniProtKB

(2016) Tunca Doğan et al.   BIOINFORMATICS

The Pfam protein families database: towards a more sustainable future

(2015) Robert D. Finn et al.   NUCLEIC ACIDS RESEARCH

UniRef clusters: a comprehensive and scalable alternative for improving sequence similarity searches

(2014) B. E. Suzek et al.   BIOINFORMATICS

Accurate prediction of protein enzymatic class by N-to-1 Neural Networks

(2013) Viola Volpato et al.   BMC BIOINFORMATICS

EFICAz2.5: application of a high-precision enzyme function predictor to 396 proteomes

(2012) Narendra Kumar et al.   BIOINFORMATICS

ECOH: An Enzyme Commission number predictor using mutual information and a support vector machine

(2012) Yoshihiko Matsuta et al.   BIOINFORMATICS

EnzML: multi-label prediction of enzyme classes using InterPro signatures

(2012) Luna De Ferrari et al.   BMC BIOINFORMATICS

COFACTOR: an accurate comparative algorithm for structure-based protein function annotation

(2012) Ambrish Roy et al.   NUCLEIC ACIDS RESEARCH

Prediction of Enzyme Subfamily Class via Pseudo Amino Acid Composition by Incorporating the Conjoint Triad Feature

(2012) Yong-Cui Wang et al.   PROTEIN AND PEPTIDE LETTERS

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Support vector machine prediction of enzyme function with conjoint triad feature and hierarchical context

(2011) Yong-Cui Wang et al.   BMC Systems Biology

Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference

(2011) Nicolò Cesa-Bianchi et al.   MACHINE LEARNING

GOPred: GO Molecular Function Prediction by Combined Classifiers

(2010) Ömer Sinan Saraç et al.   PLoS One

Efficiency analysis of KNN and minimum distance-based classifiers in enzyme family prediction

(2009) Efendi Nasibov et al.   COMPUTATIONAL BIOLOGY AND CHEMISTRY

Subsequence-based feature map for protein function classification

(2008) Omer Sinan Sarac et al.   COMPUTATIONAL BIOLOGY AND CHEMISTRY

Using support vector machines to distinguish enzymes: Approached by incorporating wavelet transform

(2008) Jian-Ding Qiu et al.   JOURNAL OF THEORETICAL BIOLOGY