Peptide Database

Peptide NameSecretogranin 1

Function Ontology

Hormonal / Endocrine ▸ Secretory pathway peptide ▸ Secretory granule peptide

Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide

Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide precursor

Standard StatusStandard

Sequence Length12 amino acids

Chemical FormulaC54H80N14O27

DescriptionStandard

        IHEGEEGEAEEE
    

Molecular Weight1357.29 Da

Isoelectric Point (pI)4.05

Net Charge (pH 7.0)-7.13

Net Charge (pH 7.4) -7.40

Charge Density (pH 7.0) -0.5940

GRAVY Index-1.85

Hydrophobic Moment 0.20

Boman Index-0.22

Instability Index88.38

Aliphatic Index 40.83

Aromaticity 0.0000

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 673.20

LogP -6.92

H-bond Donors 21.0

H-bond Acceptors 21.0

Rotatable Bonds 48.0

Heavy Atoms 95.0

Ring Count 1.0

Amide Bonds 11.0

3D PDB MODEL

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2D CHEMICAL STRUCTURE

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RECORD: Rec_0126271 VERIFIED: YES

Provenance & Taxonomy

OrganismCoturnix japonica [Animal]

FamilySecretogranin

Tax ID93934

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

Bio-Activity Profile

Function

-

Half-LifeMammalian: 20 hour; Yeast: 30 min; E. coli: >10 hour

RECORD: Rec_0156406 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_0229249 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/