Peptide Database

Peptide NameSulfakinin-2

Function Ontology

Gastrointestinal bioactivity

Hormonal / Endocrine ▸ Hormone peptide

Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide

Standard StatusStandard

Sequence Length19 amino acids

Chemical FormulaC83H116N24O29

DescriptionStandard

        AGGSGGVGGEYDDYGHLRF
    

Molecular Weight1913.95 Da

Isoelectric Point (pI)4.54

Net Charge (pH 7.0)-2.11

Net Charge (pH 7.4) -2.36

Charge Density (pH 7.0) -0.1113

GRAVY Index-0.62

Hydrophobic Moment 0.23

Boman Index0.11

Instability Index38.65

Aliphatic Index 41.05

Aromaticity 0.1579

Extinction Coeff. Reduced 2980.00

Extinction Coeff. Oxidized 2980.00

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

Amino Acid Composition

TPSA 850.29

LogP -10.56

H-bond Donors 30.0

H-bond Acceptors 28.0

Rotatable Bonds 60.0

Heavy Atoms 136.0

Ring Count 4.0

Amide Bonds 18.0

3D PDB MODEL

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2D CHEMICAL STRUCTURE

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RECORD: Rec_0000659 VERIFIED: YES

Provenance & Taxonomy

OrganismPenaeus monodon [Animal]

FamilyGastrin/cholecystokinin

Tax ID6687

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

C-TermAmidation

Bio-Activity Profile

Function

Hormone Gastrointestinal Neuropeptide

RECORD: Rec_0003952 VERIFIED: YES

Provenance & Taxonomy

OrganismPenaeus monodon [Animal]

FamilySulfakinin

Tax ID6687

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

C-TermAmidation

Bio-Activity Profile

Function

-

Half-LifeMammalian: 4.4 hour; Yeast: >20 hour; E. coli: >10 hour

RECORD: Rec_0260630 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/