Peptide Database

Peptide NameGlicentin

Function Ontology

Hormonal / Endocrine ▸ Hormone peptide

Metabolic

Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide

Regulatory peptide ▸ Biological regulation

Standard StatusStandard

Sequence Length69 amino acids

Chemical FormulaC346H535N107O120S

DescriptionStandard

        HSLQDTEEKSRSFPASQTDPLEDPDQINEDKRHSQGTFTSDYSKYLDSRRAQDFVQWLMNTKRNRNNIA
    

Molecular Weight8145.66 Da

Isoelectric Point (pI)5.55

Net Charge (pH 7.0)-2.05

Net Charge (pH 7.4) -2.38

Charge Density (pH 7.0) -0.0297

GRAVY Index-1.51

Hydrophobic Moment 0.66

Boman Index-0.38

Instability Index85.18

Aliphatic Index 42.46

Aromaticity 0.0870

Extinction Coeff. Reduced 8480.00

Extinction Coeff. Oxidized 8480.00

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

Amino Acid Composition

TPSA 3789.42

LogP -49.29

H-bond Donors 130.0

H-bond Acceptors 121.0

Rotatable Bonds 275.0

Heavy Atoms 574.0

Ring Count 12.0

Amide Bonds 79.0

3D PDB MODEL

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2D CHEMICAL STRUCTURE

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RECORD: Rec_0258039 VERIFIED: NO

Provenance & Taxonomy

OrganismMesocricetus auratus [Animal]

FamilyGlicentin

Tax ID10036

Structure & Mods

Configlinear peptide [Linear]

Chiralitynoncanonical stereochemical modification [Modified]

Other Mods34: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_0260216 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_0347713 VERIFIED: NO

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/