Positive-unlabelled learning of glycosylation sites in the human proteome

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Quokka: a comprehensive tool for rapid and accurate prediction of kinase family-specific phosphorylation sites in the human proteome

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iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences

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iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites

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PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning framework

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OUP accepted manuscript

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Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods

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Glycosylation Changes in Serum Proteins Identify Patients with Pancreatic Cancer

(2017) Anna Drabik et al.   JOURNAL OF PROTEOME RESEARCH

EPuL: An Enhanced Positive-Unlabeled Learning Algorithm for the Prediction of Pupylation Sites

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Role of protein glycosylation in cancer metastasis

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Incorporating organelle correlations into semi-supervised learning for protein subcellular localization prediction

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Perceptron ensemble of graph-based positive-unlabeled learning for disease gene identification

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Glycosylation Quality Control by the Golgi Structure

(2016) Xiaoyan Zhang et al.   JOURNAL OF MOLECULAR BIOLOGY

UniProt: the universal protein knowledgebase

(2016)   NUCLEIC ACIDS RESEARCH

GlycoMine struct : a new bioinformatics tool for highly accurate mapping of the human N-linked and O-linked glycoproteomes by incorporating structural features

(2016) Fuyi Li et al.   Scientific Reports

GlycoMine: a machine learning-based approach for predicting N-, C- and O-linked glycosylation in the human proteome

(2015) Fuyi Li et al.   BIOINFORMATICS

Compartmentalization and Functionality of Nuclear Disorder: Intrinsic Disorder and Protein-Protein Interactions in Intra-Nuclear Compartments

(2015) Fanchi Meng et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Glycosylation-directed quality control of protein folding

(2015) Chengchao Xu et al.   NATURE REVIEWS MOLECULAR CELL BIOLOGY

dbPTM 2016: 10-year anniversary of a resource for post-translational modification of proteins

(2015) Kai-Yao Huang et al.   NUCLEIC ACIDS RESEARCH

Bioimaging-based detection of mislocalized proteins in human cancers by semi-supervised learning

(2014) Ying-Ying Xu et al.   BIOINFORMATICS

PhosphoSitePlus, 2014: mutations, PTMs and recalibrations

(2014) Peter V. Hornbeck et al.   NUCLEIC ACIDS RESEARCH

Ensemble Positive Unlabeled Learning for Disease Gene Identification

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The structural and functional signatures of proteins that undergo multiple events of post-translational modification

(2014) Vikas Pejaver et al.   PROTEIN SCIENCE

Precision mapping of the human O-GalNAc glycoproteome through SimpleCell technology

(2013) Catharina Steentoft et al.   EMBO JOURNAL

In silico Platform for Prediction of N-, O- and C-Glycosites in Eukaryotic Protein Sequences

(2013) Jagat Singh Chauhan et al.   PLoS One

Using ensemble SVM to identify human GPCRs N-linked glycosylation sites based on the general form of Chou's PseAAC

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Positive-unlabeled learning for disease gene identification

(2012) Peng Yang et al.   BIOINFORMATICS

CD-HIT: accelerated for clustering the next-generation sequencing data

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Vertebrate protein glycosylation: diversity, synthesis and function

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Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive Bayesian classification

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Prediction of glycosylation sites using random forests

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