Peptide Database

Peptide NamePyrokinin-2

Function Ontology

Hormonal / Endocrine ▸ Hormone peptide

Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide

Standard StatusStandard

Sequence Length8 amino acids

Chemical FormulaC45H74N12O10S

DescriptionStandard

        QLAFRPML
    

Molecular Weight975.21 Da

Isoelectric Point (pI)9.75

Net Charge (pH 7.0)0.76

Net Charge (pH 7.4) 0.56

Charge Density (pH 7.0) 0.0950

GRAVY Index0.56

Hydrophobic Moment 0.45

Boman Index0.16

Instability Index23.40

Aliphatic Index 110.00

Aromaticity 0.1250

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 363.22

LogP -1.07

H-bond Donors 12.0

H-bond Acceptors 12.0

Rotatable Bonds 30.0

Heavy Atoms 68.0

Ring Count 2.0

Amide Bonds 8.0

3D PDB MODEL

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2D CHEMICAL STRUCTURE

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RECORD: Rec_0058646 VERIFIED: YES

Provenance & Taxonomy

OrganismEuschistus servus [Animal]

FamilyPyrokinin

Tax ID756488

Structure & Mods

Configlinear peptide [Linear]

Chiralitynoncanonical stereochemical modification [Modified]

N-TermPyroglutamate

Other Mods9:Leucine amide

Bio-Activity Profile

Function

-

Half-LifeMammalian: 0.8 hour; Yeast: 10 min; E. coli: >10 hour

RECORD: Rec_0220544 VERIFIED: YES

Provenance & Taxonomy

OrganismEuschistus servus [Animal]

FamilyPyrokinin

Tax ID756488

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

N-TermPyroglutamate

C-TermAmidation

Bio-Activity Profile

Function

Neuropeptide Invertebrate neurohormone

RECORD: Rec_0319675 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/