Protein detail

ENOB

Beta-enolase (EC 4.2.1.11) (2-phospho-D-glycerate hydro-lyase) (Enolase 3) (Muscle-specific enolase) (MSE) (Skeletal muscle enolase)

Entry name
ENOB
UniProt ID
EVMP confidence score
0.38
Supporting publications (n)
2
Transmembrane count
Protein classification
Candidate cardiovascular disease genesDisease related genesEnzymesHuman disease related genesMetabolic proteinsPlasma proteinsPotential drug targetsPredicted intracellular proteins
EVMP confidence score

Annotation confidence score; open for threshold definitions.

Extremely high >= 0.85High >= 0.70Medium >= 0.55Low >= 0.40
Basic Information10
Protein Names
Beta-enolase (EC 4.2.1.11) (2-phospho-D-glycerate hydro-lyase) (Enolase 3) (Muscle-specific enolase) (MSE) (Skeletal muscle enolase)
Protein Class (8)
Candidate cardiovascular disease genesDisease related genesEnzymesHuman disease related genesMetabolic proteinsPlasma proteinsPotential drug targetsPredicted intracellular proteins
Protein Function (7)
  • Human disease related genes:Congenital disorders of metabolism:Congenital disorders of carbohydrate metabolism
  • Predicted intracellular proteins
  • ENZYME proteins:Lyases
  • Potential drug targets
  • Candidate cardiovascular disease genes
  • Enzymes
  • Disease related genes
Entrez Gene Symbol
Gene Description
Enolase 3
Chromosome
17
Position
4948092-4957131
Supporting publications (n)
2
EVMP confidence score
0.38
Fluorescence & Localization2
Tissue Specificheart muscleCell SpecificCardiomyocytes
Function & Pathway7
Relations & Evidence20

Ligand-Receptor Signaling (9)

9 records.

CategoryParentDatabaseTransmitterReceiverSecretedPlasma Membrane (Transmembrane)Plasma Membrane (Peripheral)
ecmecmMatrixDBYesNoNoNoNo
ecmecmOmniPathYesNoNoNoNo
extracellularextracellularLOCATENoNoNoNoNo
extracellularextracellularOmniPathNoNoNoNoNo
intracellularintracellularLOCATENoNoNoNoNo
intracellularintracellularComPPINoNoNoNoNo
intracellularintracellularGO_IntercellNoNoNoNoNo
intracellularintracellularUniProt_locationNoNoNoNoNo
intracellularintracellularOmniPathNoNoNoNoNo

Isolation & Detection Technology (1)

1 record.

EV Isolation MethodDetection MethodNumber of ReferencesReferences
Differential UltracentrifugationSmall R sequencing (Illumi HiSeq 2000 (Solexa)Mass spectrometry137886648
Sequence, Structure & Domains11

Sequences

Length
434
Mass
46,987
Sequence
MAMQKIFAREILDSRGNPTVEVDLHTAKGRFRAAVPSGASTGIYEALELRDGDKGRYLGKGVLKAVENINNTLGPALLQKKLSVVDQEKVDKFMIELDGTENKSKFGANAILGVSLAVCKAGAAEKGVPLYRHIADLAGNPDLILPVPAFNVINGGSHAGNKLAMQEFMILPVGASSFKEAMRIGAEVYHHLKGVIKAKYGKDATNVGDEGGFAPNILENNEALELLKTAIQAAGYPDKVVIGMDVAASEFYRNGKYDLDFKSPDDPARHITGEKLGELYKSFIKNYPVVSIEDPFDQDDWATWTSFLSGVNIQIVGDDLTVTNPKRIAQAVEKKACNCLLLKVNQIGSVTESIQACKLAQSNGWGVMVSHRSGETEDTFIADLVVGLCTGQIKTGAPCRSERLAKYNQLMRIEEALGDKAIFAGRKFRNPKAK
Alternative Products
Event=Alternative splicing; Named isoforms=3; Name=1; IsoId=P13929-1; Sequence=Displayed; Name=2; IsoId=P13929-2; Sequence=VSP_037753; Name=3; IsoId=P13929-3; Sequence=VSP_037752
Alternative Sequence
61..104; GVLKAVENINNTLGPALLQKKLSVVDQEKVDKFMIELDGTENKS -> A (in isoform 3); 150..177; Missing (in isoform 2)

3D Structural Models

Turn
104..106; 237..239; 259..262; 319..323
Helix
57..59; 63..71; 73..79; 87..98; 108..125; 130..138; 156..158; 178..200; 220..234; 248..251; 267..269; 273..286; 301..309; 325..334; 344..347; 350..362; 380..388; 401..417; 418..420; 425..427
Beta Strand
5..12; 18..26; 29..34; 43..45; 150..154; 159..162; 167..171; 241..245; 289..293; 313..318; 338..342; 366..370; 391..394
3D Structure
X-ray crystallography (1)

Domain & Motif Annotations

Protein Families
Enolase family
Sequence Similarities
Belongs to the enolase family.
Clinical Relevance6
Disease Involvement (2)
Disease variantGlycogen storage disease
Interaction Protein
ENSG00000074800
Interaction Count
1
Interaction Dataset
intact_biogrid_opencell
Supporting Publications2
PMIDTitleAbstract
37503071A novel machine learning algorithm selects proteome signature to specifically identify cancer exosomes.Employing datasets of exosome proteins from human cell lines, tissue, plasma, serum and urine samples from a variety of cancers, we identify Clathrin Heavy Chain (CLTC), Ezrin, (EZR), Talin-1 (TLN1), Adenylyl cyclase-associated protein 1 (CAP1) and Moesin (MSN) as highly abundant universal biomarkers for exosomes and define three panels of pan-cancer exosome proteins that distinguish cancer exosomes from other exosomes and aid in classifying cancer subtypes employing random forest models.
38529947A novel machine learning algorithm selects proteome signature to specifically identify cancer exosomes.Employing datasets of exosome proteins from human cell lines, tissue, plasma, serum, and urine samples from a variety of cancers, we identify Clathrin Heavy Chain (CLTC), Ezrin, (EZR), Talin-1 (TLN1), Adenylyl cyclase-associated protein 1 (CAP1), and Moesin (MSN) as highly abundant universal biomarkers for exosomes and define three panels of pan-cancer exosome proteins that distinguish cancer exosomes from other exosomes and aid in classifying cancer subtypes employing random forest models.