Peptide Database

Peptide NameGlucagon-like peptide 2

Function Ontology

Hormonal / Endocrine ▸ Hormone peptide

Metabolic

Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide

Regulatory peptide ▸ Biological modulation

Regulatory peptide ▸ Biological regulation

Standard StatusStandard

Sequence Length33 amino acids

Chemical FormulaC169H267N43O52S

DescriptionStandard

        HADGTFTSDINKILDDMAAKEFLKWLINTKVTQ
    

Molecular Weight3765.25 Da

Isoelectric Point (pI)5.47

Net Charge (pH 7.0)-1.15

Net Charge (pH 7.4) -1.41

Charge Density (pH 7.0) -0.0348

GRAVY Index-0.29

Hydrophobic Moment 0.62

Boman Index0.03

Instability Index13.63

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 1559.99

LogP -13.72

H-bond Donors 53.0

H-bond Acceptors 53.0

Rotatable Bonds 128.0

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_0068161 VERIFIED: YES

Provenance & Taxonomy

OrganismGallus gallus [Animal]

FamilyGlucagon-like peptide

Tax ID9031

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

Bio-Activity Profile

Function

Hormone Endocrine Metabolic regulation Physiological regulation Receptor modulation

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

RECORD: Rec_0154142 VERIFIED: NO

Provenance & Taxonomy

OrganismGallus gallus [Animal]

FamilyGlucagon

Tax ID9031

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

Bio-Activity Profile

Function

Hormone Metabolic

RECORD: Rec_0230511 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/