Peptide Database

Peptide NameGlicentin-related polypeptide

Function Ontology

Hormonal / Endocrine ▸ Hormone peptide

Metabolic

Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide

Regulatory peptide ▸ Biological regulation

Standard StatusStandard

Sequence Length30 amino acids

Chemical FormulaC137H209N37O56

DescriptionStandard

        HSLQNTEEKSSSFPAPQTDPLGDPDQISED
    

Molecular Weight3270.34 Da

Isoelectric Point (pI)4.05

Net Charge (pH 7.0)-6.14

Net Charge (pH 7.4) -6.40

Charge Density (pH 7.0) -0.2046

GRAVY Index-1.37

Hydrophobic Moment 0.29

Boman Index-0.19

Instability Index83.84

Aliphatic Index 42.33

Aromaticity 0.0333

Extinction Coeff. Reduced 0.00

Extinction Coeff. Oxidized 0.00

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

Amino Acid Composition

TPSA 1501.83

LogP -21.50

H-bond Donors 47.0

H-bond Acceptors 51.0

Rotatable Bonds 104.0

Heavy Atoms 230.0

Ring Count 6.0

Amide Bonds 33.0

3D PDB MODEL

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2D CHEMICAL STRUCTURE

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RECORD: Rec_0035207 VERIFIED: NO

Provenance & Taxonomy

OrganismOvis aries [Animal]

FamilyGlicentin-related polypeptide

Tax ID9940

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

Bio-Activity Profile

Function

Hormone Endocrine Metabolic regulation Physiological regulation

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

RECORD: Rec_0081951 VERIFIED: NO

Provenance & Taxonomy

OrganismOvis aries [Animal]

FamilyGlucagon

Tax ID9940

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

Bio-Activity Profile

Function

Hormone Metabolic

RECORD: Rec_0187533 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/