Peptide Database

Peptide NameSulfakinin-1

Function Ontology

Gastrointestinal bioactivity

Hormonal / Endocrine ▸ Hormone peptide

Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide

Standard StatusStandard

Sequence Length11 amino acids

Chemical FormulaC58H82N16O21

DescriptionStandard

        ETSDDYGHLRF
    

Molecular Weight1339.37 Da

Isoelectric Point (pI)4.54

Net Charge (pH 7.0)-2.07

Net Charge (pH 7.4) -2.30

Charge Density (pH 7.0) -0.1886

GRAVY Index-1.35

Hydrophobic Moment 0.04

Boman Index-0.25

Instability Index18.88

Aliphatic Index 35.45

Aromaticity 0.1818

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 617.49

LogP -6.47

H-bond Donors 22.0

H-bond Acceptors 20.0

Rotatable Bonds 42.0

Heavy Atoms 95.0

Ring Count 3.0

Amide Bonds 10.0

3D PDB MODEL

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2D CHEMICAL STRUCTURE

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RECORD: Rec_0042311 VERIFIED: YES

Provenance & Taxonomy

OrganismZophobas atratus [Animal]

FamilySulfakinin

Tax ID7074

Structure & Mods

Configlinear peptide [Linear]

Chiralitynoncanonical stereochemical modification [Modified]

N-TermPyroglutamate

C-TermAmidation

Bio-Activity Profile

Function

-

Half-LifeMammalian: 1 hour; Yeast: 30 min; E. coli: >10 hour

RECORD: Rec_0088618 VERIFIED: YES

Provenance & Taxonomy

OrganismZophobas atratus [Animal]

FamilyGastrin/cholecystokinin

Tax ID7074

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

N-TermPyroglutamate

C-TermAmidation

Bio-Activity Profile

Function

Hormone Gastrointestinal Neuropeptide

RECORD: Rec_0220223 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/