Peptide Database

Peptide Nameinsulin-related peptide

Function Ontology

Hormonal / Endocrine ▸ Hormone peptide

Metabolic

Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide

Standard StatusStandard

Sequence Length21 amino acids

Chemical FormulaC95H150N26O34S4

DescriptionStandard

        GVFDECCRKSCSISELQTYCG
    

Molecular Weight2328.62 Da

Isoelectric Point (pI)4.68

Net Charge (pH 7.0)-1.27

Net Charge (pH 7.4) -1.54

Charge Density (pH 7.0) -0.0607

GRAVY Index-0.11

Hydrophobic Moment 0.52

Boman Index-0.04

Instability Index76.54

Aliphatic Index 50.95

Aromaticity 0.0952

Extinction Coeff. Reduced 1490.00

Extinction Coeff. Oxidized 1740.00

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

Amino Acid Composition

TPSA 989.38

LogP -12.76

H-bond Donors 39.0

H-bond Acceptors 37.0

Rotatable Bonds 77.0

Heavy Atoms 159.0

Ring Count 2.0

Amide Bonds 21.0

3D PDB MODEL

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2D CHEMICAL STRUCTURE

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RECORD: Rec_0116039 VERIFIED: YES

Provenance & Taxonomy

OrganismLocusta migratoria [Animal]

FamilyInsulin

Tax ID7004

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

Bio-Activity Profile

Function

Hormone Metabolic

RECORD: Rec_0318167 VERIFIED: YES

Provenance & Taxonomy

OrganismLocusta migratoria [Animal]

FamilyLIRP

Tax ID7004

Structure & Mods

Configdisulfide-constrained peptide [Cyclic]

Chiralitycanonical L-amino-acid peptide [L]

Disulfide6-11

Bio-Activity Profile

Function

Hormone Endocrine

Half-LifeMammalian: 30 hour; Yeast: >20 hour; E. coli: >10 hour

RECORD: Rec_0358128 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/