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A large-scale evaluation of computational protein function prediction

A large-scale evaluation of computational protein function prediction

http://www.wikidata.org/entity/Q24614831

about

dcGOR: an R package for analysing ontologies and protein domain annotations Supergenomic network compression and the discovery of EXP1 as a glutathione transferase inhibited by artesunate Proteins and Their Interacting Partners: An Introduction to Protein-Ligand Binding Site Prediction Methods Modeling enzyme-ligand binding in drug discovery Diversity in protein domain superfamilies The history of the CATH structural classification of protein domains From human genome to cancer genome: the first decade Evolutionary genetics of insect innate immunity Elucidating gene function and function evolution through comparison of co-expression networks of plants Learning from Co-expression Networks: Possibilities and Challenges FFPred 3: feature-based function prediction for all Gene Ontology domains.Characterizing the state of the art in the computational assignment of gene function: lessons from the first critical assessment of functional annotation (CAFA)Experimental Evidence for a Revision in the Annotation of Putative Pyridoxamine 5'-Phosphate Oxidases P(N/M)P from Fungi.Probabilistic approach to predicting substrate specificity of methyltransferases Evolution of biomedical ontologies and mappings: Overview of recent approaches Recent Advances and Emerging Applications in Text and Data Mining for Biomedical Discovery Template-based prediction of protein function Prediction of Genetic Interactions Using Machine Learning and Network Properties LocTree3 prediction of localization Covalent docking predicts substrates for haloalkanoate dehalogenase superfamily phosphatases Rheostats and toggle switches for modulating protein function Isofunctional Protein Subfamily Detection Using Data Integration and Spectral Clustering node2vec: Scalable Feature Learning for Networks An expanded evaluation of protein function prediction methods shows an improvement in accuracy Importance of metabolic rate to the relationship between the number of genes in a functional category and body size in Peto's paradox for cancer K-shell Analysis Reveals Distinct Functional Parts in an Electron Transfer Network and Its Implications for Extracellular Electron Transfer The role of ontologies in biological and biomedical research: a functional perspective An evidence-based approach to identify aging-related genes in Caenorhabditis elegans Achievements and challenges in structural bioinformatics and computational biophysics NCBI disease corpus: a resource for disease name recognition and concept normalization NCBI prokaryotic genome annotation pipeline APRICOT: an integrated computational pipeline for the sequence-based identification and characterization of RNA-binding proteins Ten simple rules for a community computational challenge Model-enabled gene search (MEGS) allows fast and direct discovery of enzymatic and transport gene functions in the marine bacterium Vibrio fischeri.WeFold: a coopetition for protein structure prediction The enzymatic nature of an anonymous protein sequence cannot reliably be inferred from superfamily level structural information alone Protein Secondary Structure Prediction Using Deep Convolutional Neural Fields Accurate Prediction of One-Dimensional Protein Structure Features Using SPINE-X.Exploring Human Diseases and Biological Mechanisms by Protein Structure Prediction and Modeling.Systematic analysis of challenge-driven improvements in molecular prognostic models for breast cancer

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P2860

A large-scale evaluation of computational protein function prediction

http://www.wikidata.org/entity/Q24614831

description

2013 nî lūn-bûn

@nan

2013 թուականի Մարտին հրատարակուած գիտական յօդուած

@hyw

2013 թվականի մարտին հրատարակված գիտական հոդված

@hy

2013年の論文

@ja

2013年論文

@yue

2013年論文

@zh-hant

2013年論文

@zh-hk

2013年論文

@zh-mo

2013年論文

@zh-tw

2013年论文

@wuu

name

A large-scale evaluation of computational protein function prediction

@ast

A large-scale evaluation of computational protein function prediction

@en

A large-scale evaluation of computational protein function prediction

@nl

type

label

A large-scale evaluation of computational protein function prediction

@ast

A large-scale evaluation of computational protein function prediction

@en

A large-scale evaluation of computational protein function prediction

@nl

prefLabel

A large-scale evaluation of computational protein function prediction

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A large-scale evaluation of computational protein function prediction

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A large-scale evaluation of computational protein function prediction

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A large-scale evaluation of computational protein function prediction

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Aalt D J van Dijk

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Alberto Paccanaro

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Alexandra M Schnoes

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Ameet S Talwalkar

http://www.w3.org/2001/XMLSchema#string

Andreas M Lisewski

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Andrew Wong

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Ariane Boehm

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Artem Sokolov

http://www.w3.org/2001/XMLSchema#string

Barbara Di Camillo

http://www.w3.org/2001/XMLSchema#string

Bhakti Limaye

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P2860

Testing the ortholog conjecture with comparative functional genomic data from mammals

Annotation error in public databases: misannotation of molecular function in enzyme superfamilies

A gold standard set of mechanistically diverse enzyme superfamilies.

Human MicroRNA targets

Gene ontology: tool for the unification of biology

DrugBank: a comprehensive resource for in silico drug discovery and exploration

PNPASE regulates RNA import into mitochondria

Down-regulation of Myc as a potential target for growth arrest induced by human polynucleotide phosphorylase (hPNPaseold-35) in human melanoma cells

Analysis of the human polynucleotide phosphorylase (PNPase) reveals differences in RNA binding and response to phosphate compared to its bacterial and chloroplast counterparts

Human polynucleotide phosphorylase reduces oxidative RNA damage and protects HeLa cell against oxidative stress

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221-7

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scholarly article

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1246125

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10.1038/NMETH.2340

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3

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10

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Christine Orengo

Predrag Radivojac

Domenico Cozzetto

Tapio Salakoski

Petri Törönen

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2013-03-01T00:00:00Z

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235375403

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1046100259

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23353650

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computational biology

Protein function prediction

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3584181

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