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 FormulaC351H544N106O121S

DescriptionStandard

        HPLQDTEEKPRSFSTSQTDLLDDPDQMNEDKRHSQGTFTSDYSKFLDTRRAQDFLDWLKNTKRNRNEIA
    

Molecular Weight8216.78 Da

Isoelectric Point (pI)5.20

Net Charge (pH 7.0)-3.05

Net Charge (pH 7.4) -3.38

Charge Density (pH 7.0) -0.0442

GRAVY Index-1.54

Hydrophobic Moment 0.66

Boman Index-0.41

Instability Index58.84

Aliphatic Index 42.46

Aromaticity 0.0870

Extinction Coeff. Reduced 6990.00

Extinction Coeff. Oxidized 6990.00

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

Amino Acid Composition

TPSA 3783.63

LogP -46.92

H-bond Donors 130.0

H-bond Acceptors 121.0

Rotatable Bonds 279.0

Heavy Atoms 579.0

Ring Count 12.0

Amide Bonds 77.0

3D PDB MODEL

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2D CHEMICAL STRUCTURE

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RECORD: Rec_0047384 VERIFIED: YES

Provenance & Taxonomy

OrganismOctodon degus [Animal]

FamilyGlicentin

Tax ID10160

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_0091617 VERIFIED: NO

Provenance & Taxonomy

OrganismOctodon degus [Animal]

FamilyGlucagon

Tax ID10160

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

Bio-Activity Profile

Function

Hormone Metabolic

RECORD: Rec_0405004 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/