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PhenoPred specifications


Unique identifier OMICS_18231
Name PhenoPred
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability Stable
Maintained Yes


  • person_outline Predrag Radivojac

Publication for PhenoPred

PhenoPred citations


Candidate Gene Identification for Systemic Lupus Erythematosus Using Network Centrality Measures and Gene Ontology

PLoS One
PMCID: 3847089
PMID: 24312583
DOI: 10.1371/journal.pone.0081766

[…] biological data mining. posmed, a computational based approach prioritizes candidate genes using an inferential process similar to artificial neural network comprising documentrons . some tools like phenopred use disease phenotype information which associate data from gene-disease relations , protein-protein interaction data, protein functional annotation at a molecular level and protein […]


Semantic inference using chemogenomics data for drug discovery

BMC Bioinformatics
PMCID: 3225082
PMID: 21699718
DOI: 10.1186/1471-2105-12-256

[…] indirect. there are two ways to mine this information in the data preparation section. pubchem bioassay as an example, (i) implementing a sql function "position" to find gene or disease terms from phenopred matrix [] occurring in the description of the bioassay, then again based on the phenopred matrix to find associations between gene and disease, finally the link […]


Bioinformatics challenges for personalized medicine

PMCID: 3117361
PMID: 21596790
DOI: 10.1093/bioinformatics/btr295

[…] diseases, genes, mutations, drugs, pathways, tissues, organs and metabolites in humans (). mimminer ranks phenotypes using text mining by comparing the human phenome and disease phenotypes (). phenopred detects gene–disease associations using the human ppi network, known gene–disease associations, protein sequences and protein functional information at the molecular level (). genemania () […]


Analysis of AML genes in dysregulated molecular networks

BMC Bioinformatics
PMCID: 2745689
PMID: 19761572
DOI: 10.1186/1471-2105-10-S9-S2

[…] aml etiology, and investigated characteristics of known aml genes appearing in the subnetworks can be exploited to predict unknown aml-causing genes., we downloaded the ppi network from the phenopred website by radivojac et al. []. it consists of 41456 physical interactions among 9142 proteins assembled from human protein reference database (hprd) [], the online predicted human […]

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PhenoPred institution(s)
School of Informatics, Indiana University, Bloomington, IN, USA; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
PhenoPred funding source(s)
Partially supported by the Indiana Genomics Initiative, by the Lilly Endowment, by DBI-0644017 grant, by K22LM009135 and P01AG018397.

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