Peptide Database

Peptide NameLocustapyrokinin-1

Function Ontology

Hormonal / Endocrine ▸ Hormone peptide

Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide

Standard StatusStandard

Sequence Length16 amino acids

Chemical FormulaC85H123N23O27

DescriptionStandard

        QDSGDEWPQQPFVPRL
    

Molecular Weight1899.02 Da

Isoelectric Point (pI)4.05

Net Charge (pH 7.0)-2.23

Net Charge (pH 7.4) -2.44

Charge Density (pH 7.0) -0.1397

GRAVY Index-1.35

Hydrophobic Moment 0.37

Boman Index-0.18

Instability Index79.53

Aliphatic Index 42.50

Aromaticity 0.1250

Extinction Coeff. Reduced 5500.00

Extinction Coeff. Oxidized 5500.00

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

Amino Acid Composition

TPSA 812.54

LogP -7.64

H-bond Donors 25.0

H-bond Acceptors 25.0

Rotatable Bonds 56.0

Heavy Atoms 135.0

Ring Count 6.0

Amide Bonds 18.0

3D PDB MODEL

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2D CHEMICAL STRUCTURE

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RECORD: Rec_0023024 VERIFIED: YES

Provenance & Taxonomy

OrganismLocusta migratoria [Animal]

FamilyLocustapyrokinin

Tax ID7004

Structure & Mods

Configlinear peptide [Linear]

Chiralitynoncanonical stereochemical modification [Modified]

N-TermPyroglutamate

C-TermAmidation

Bio-Activity Profile

Function

-

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

RECORD: Rec_0082659 VERIFIED: YES

Provenance & Taxonomy

OrganismLocusta migratoria [Animal]

FamilyPyrokinin

Tax ID7004

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

N-TermPyroglutamate

C-TermAmidation

Bio-Activity Profile

Function

Neuropeptide Invertebrate neurohormone

RECORD: Rec_0328043 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/