Peptide Database

Peptide NameGlucagon-like peptide 2

Function Ontology

Hormonal / Endocrine ▸ Hormone peptide

Metabolic

Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide

Regulatory peptide ▸ Biological regulation

Standard StatusStandard

Sequence Length33 amino acids

Chemical FormulaC165H255N43O56S

DescriptionStandard

        HADGSFSDEMNTILDSLATRDFINWLIQTKITD
    

Molecular Weight3769.11 Da

Isoelectric Point (pI)4.30

Net Charge (pH 7.0)-4.14

Net Charge (pH 7.4) -4.40

Charge Density (pH 7.0) -0.1255

GRAVY Index-0.28

Hydrophobic Moment 0.54

Boman Index0.04

Instability Index11.96

Aliphatic Index 88.79

Aromaticity 0.0909

Extinction Coeff. Reduced 5500.00

Extinction Coeff. Oxidized 5500.00

The radar chart summarizes major physicochemical dimensions for quick comparison, while exact numerical values remain listed on the left.

Amino Acid Composition

TPSA 1621.59

LogP -17.02

H-bond Donors 56.0

H-bond Acceptors 54.0

Rotatable Bonds 125.0

Heavy Atoms 265.0

Ring Count 5.0

Amide Bonds 35.0

3D PDB MODEL

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2D CHEMICAL STRUCTURE

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RECORD: Rec_0118333 VERIFIED: YES

Provenance & Taxonomy

OrganismMesocricetus auratus [Animal]

FamilyGlucagon-like peptide

Tax ID10036

Structure & Mods

Configlinear peptide [Linear]

Chiralitynoncanonical stereochemical modification [Modified]

Other Mods5:Phosphoserine; 7:Phosphoserine

Bio-Activity Profile

Function

Hormone Endocrine Metabolic regulation Physiological regulation

Half-LifeMammalian: 3.5 hour; Yeast: 10 min; E. coli: >10 hour

RECORD: Rec_0229568 VERIFIED: NO

Provenance & Taxonomy

OrganismMesocricetus auratus [Animal]

FamilyGlucagon

Tax ID10036

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

Bio-Activity Profile

Function

Hormone Metabolic

RECORD: Rec_0377346 VERIFIED: YES

Provenance & Taxonomy

Organismnot reported [other]

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

Bio-Activity Profile

Function

Neuropeptide

Paper数据库级溯源文献：Wang Y, Wang M, Yin S, et al. NeuroPep: a comprehensive resource of neuropeptides. Database (Oxford). 2015:bav038. PMID 25931458; Bin Y, Zhang W, Tang W, et al. Prediction of Neuropeptides from Sequence Information Using Ensemble Classifier and Hybrid Features. J Proteome Res. 2020;19(9):3732-3740. PMID 32786686. PMID25931458;32786686 Evidence URLhttps://pubmed.ncbi.nlm.nih.gov/25931458/