Peptide Database

Peptide NameMolluscan insulin-related peptide 3 B chain

Function Ontology

Hormonal / Endocrine ▸ Hormone peptide

Metabolic

Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide

Standard StatusStandard

Sequence Length37 amino acids

Chemical FormulaC170H273N51O55S4

DescriptionStandard

        TTQHTCSILSRPHPRGLCGSTLANMVQWLCSTYTTSS
    

Molecular Weight4039.56 Da

Isoelectric Point (pI)8.68

Net Charge (pH 7.0)1.54

Net Charge (pH 7.4) 1.21

Charge Density (pH 7.0) 0.0417

GRAVY Index-0.18

Hydrophobic Moment 0.52

Boman Index0.04

Instability Index22.41

Aliphatic Index 63.24

Aromaticity 0.0541

Extinction Coeff. Reduced 6990.00

Extinction Coeff. Oxidized 7115.00

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

Amino Acid Composition

TPSA 1702.78

LogP -24.27

H-bond Donors 65.0

H-bond Acceptors 63.0

Rotatable Bonds 125.0

Heavy Atoms 280.0

Ring Count 7.0

Amide Bonds 39.0

3D PDB MODEL

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2D CHEMICAL STRUCTURE

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RECORD: Rec_0238855 VERIFIED: YES

Provenance & Taxonomy

OrganismLymnaea stagnalis [Animal]

FamilyMolluscan insulin-related peptide

Tax ID6523

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

Bio-Activity Profile

Function

Hormone Endocrine

Half-LifeMammalian: 7.2 hour; Yeast: >20 hour; E. coli: >10 hour

RECORD: Rec_0295129 VERIFIED: YES

Provenance & Taxonomy

OrganismLymnaea stagnalis [Animal]

FamilyInsulin

Tax ID6523

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

Bio-Activity Profile

Function

Hormone Metabolic

RECORD: Rec_0332452 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/