Peptide Database

Peptide NameCaerulein

Function Ontology

Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide

Standard StatusStandard

Sequence Length9 amino acids

Chemical FormulaC55H71N11O17S

DescriptionStandard

        EDYKGWMDF
    

Molecular Weight1190.28 Da

Isoelectric Point (pI)4.05

Net Charge (pH 7.0)-2.16

Net Charge (pH 7.4) -2.34

Charge Density (pH 7.0) -0.2403

GRAVY Index-1.37

Hydrophobic Moment 0.39

Boman Index-0.07

Instability Index52.50

Aliphatic Index 0.00

Aromaticity 0.3333

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 470.06

LogP -1.48

H-bond Donors 16.0

H-bond Acceptors 16.0

Rotatable Bonds 37.0

Heavy Atoms 84.0

Ring Count 4.0

Amide Bonds 8.0

3D PDB MODEL

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2D CHEMICAL STRUCTURE

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RECORD: Rec_0190475 VERIFIED: YES

Provenance & Taxonomy

OrganismAgalychnis callidryas [Animal]

Tax ID197464

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

N-TermPyroglutamate

C-TermAmidation

Other ModsTyr3 Sulfotyrosine

Bio-Activity Profile

Function

-

RECORD: Rec_0226095 VERIFIED: YES

Provenance & Taxonomy

OrganismAgalychnis callidryas [Animal]

FamilyCaerulein

Tax ID197464

Structure & Mods

Configlinear peptide [Linear]

Chiralitynoncanonical stereochemical modification [Modified]

N-TermPyroglutamate

C-TermAmidation

Other Mods3:Tyrosine Sulfotyrosine

Bio-Activity Profile

Function

-

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

RECORD: Rec_0240286 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/