Peptide Database

Peptide NameSecretogranin c-terminal peptide

Function Ontology

Hormonal / Endocrine ▸ Secretory pathway peptide ▸ Secretory granule peptide

Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide

Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide precursor

Standard StatusStandard

Sequence Length16 amino acids

Chemical FormulaC78H129N23O24

DescriptionStandard

        SVNPYLQGKRLDNVVA
    

Molecular Weight1773.00 Da

Isoelectric Point (pI)8.31

Net Charge (pH 7.0)0.46

Net Charge (pH 7.4) 0.25

Charge Density (pH 7.0) 0.0287

GRAVY Index-0.28

Hydrophobic Moment 0.38

Boman Index-0.04

Instability Index43.02

Aliphatic Index 109.38

Aromaticity 0.0625

Extinction Coeff. Reduced 1490.00

Extinction Coeff. Oxidized 1490.00

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

Amino Acid Composition

TPSA 785.98

LogP -8.29

H-bond Donors 26.0

H-bond Acceptors 25.0

Rotatable Bonds 57.0

Heavy Atoms 125.0

Ring Count 2.0

Amide Bonds 18.0

3D PDB MODEL

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2D CHEMICAL STRUCTURE

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RECORD: Rec_0016232 VERIFIED: YES

Provenance & Taxonomy

OrganismCoturnix coturnix japonica [Animal]

FamilyChromogranin/secretogranin

Tax ID93934

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

Bio-Activity Profile

Function

Secretory granule peptide Neuropeptide precursor

RECORD: Rec_0297029 VERIFIED: YES

Provenance & Taxonomy

OrganismCoturnix japonica [Animal]

FamilySecretogranin c-terminal peptide

Tax ID93934

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

Bio-Activity Profile

Function

-

Half-LifeMammalian: 1.9 hour; Yeast: >20 hour; E. coli: >10 hour

RECORD: Rec_0343890 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/