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GEO2Enrichr specifications


Unique identifier OMICS_08587
Name GEO2Enrichr
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability Stable
Maintained Yes


  • person_outline Avi Ma’ayan

Publication for GEO2Enrichr

GEO2Enrichr citation


Proteins and Their Interacting Partners: An Introduction to Protein–Ligand Binding Site Prediction Methods

Int J Mol Sci
PMCID: 4691145
PMID: 26694353
DOI: 10.3390/ijms161226202

[…] have been developed as rapid methods that utilize sequence information only. The majority of methods predict function based on Gene Ontology (GO) terms (which include: INGA [], EFI-EST [], SIFTER [], GEO2Enrichr [], PANNZER [], and PILL []) with fewer utilizing EC numbers (EFI-EST [] and DomSign []) for functional annotation. Furthermore, a number of structure-based methods for the prediction of p […]

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GEO2Enrichr institution(s)
Department of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai, One Gustave L Levy Place, New York, NY, USA
GEO2Enrichr funding source(s)
This work is supported by NIH grants: R01GM098316, R01DK088541, U54HG008230 and U54CA189201.

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