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

Proteins: Structure, Function and Bioinformatics

Volumn 86, Issue 2, 2018, Pages 135-151

  Rifaioglu, Ahmet Sureyya ^a,b   Doğan, Tunca ^a,c   Saraç, Ömer Sinan ^d   Ersahin, Tulin ^a   Saidi, Rabie ^c   Atalay, Mehmet Volkan ^a   Martin, Maria Jesus ^c   Cetin Atalay, Rengul ^a  

^a MIDDLE EAST TECHNICAL UNIVERSITY   (Turkey)

^b ISKENDERUN TECHNICAL UNIVERSITY   (Turkey)

^c EUROPEAN BIOINFORMATICS INSTITUTE   (United Kingdom)

^d ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

automated protein function prediction; CHD8; gene ontology; machine learning; protein sequence; PTEN; UniProtKB; variation

Indexed keywords

PHOSPHATIDYLINOSITOL 3,4,5 TRISPHOSPHATE 3 PHOSPHATASE; PROTEIN VARIANT; PROTEOME; TRANSCRIPTOME;

AMINO ACID SEQUENCE; ARTICLE; AUTOMATION; BIOLOGICAL PHENOMENA AND FUNCTIONS CONCERNING THE ENTIRE ORGANISM; CASE STUDY; CELL COMPARTMENTALIZATION; CLASSIFIER; CONTROLLED STUDY; EXPERIMENTAL STUDY; FUNCTIONAL ASSESSMENT; KNOWLEDGE BASE; MOLECULAR BIOLOGY; ONTOLOGY; PREDICTION; PRIORITY JOURNAL; PROTEIN DATABASE; PROTEIN FUNCTION; VALIDATION STUDY; ANIMAL; BIOLOGICAL MODEL; CHEMISTRY; GENE ONTOLOGY; GENETICS; HUMAN; MACHINE LEARNING; METABOLISM; PROCEDURES; PROTEOMICS; SEQUENCE ANALYSIS;

ANIMALS; DATABASES, PROTEIN; GENE ONTOLOGY; HUMANS; MACHINE LEARNING; MODELS, BIOLOGICAL; PROTEOMICS; PTEN PHOSPHOHYDROLASE; SEQUENCE ANALYSIS, PROTEIN; TRANSCRIPTOME;

EID: 85036581347     PISSN: 08873585     EISSN: 10970134     Source Type: Journal    
DOI: 10.1002/prot.25416     Document Type: Article

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