Peptide Database

Peptide NameNeurotensin

Function Ontology

Hormonal / Endocrine ▸ Hormone peptide

Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide

Standard StatusStandard

Sequence Length13 amino acids

Chemical FormulaC73H121N23O18

DescriptionStandard

        ELHVNKARRPYIL
    

Molecular Weight1608.88 Da

Isoelectric Point (pI)9.99

Net Charge (pH 7.0)1.92

Net Charge (pH 7.4) 1.70

Charge Density (pH 7.0) 0.1478

GRAVY Index-0.61

Hydrophobic Moment 0.41

Boman Index-0.22

Instability Index101.14

Aliphatic Index 120.00

Aromaticity 0.0769

Extinction Coeff. Reduced 1490.00

Extinction Coeff. Oxidized 1490.00

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

Amino Acid Composition

TPSA 682.85

LogP -4.15

H-bond Donors 24.0

H-bond Acceptors 21.0

Rotatable Bonds 52.0

Heavy Atoms 114.0

Ring Count 3.0

Amide Bonds 13.0

3D PDB MODEL

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2D CHEMICAL STRUCTURE

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RECORD: Rec_0053616 VERIFIED: YES

Provenance & Taxonomy

OrganismAlligator mississippiensis [Animal]

FamilyNeurotensin

Tax ID8496

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

N-TermPyroglutamate

Bio-Activity Profile

Function

Neuropeptide Hormone

RECORD: Rec_0248526 VERIFIED: YES

Provenance & Taxonomy

OrganismAlligator mississippiensis [Animal]

FamilyNeurotensin

Tax ID8496

Structure & Mods

Configlinear peptide [Linear]

Chiralitynoncanonical stereochemical modification [Modified]

N-TermPyroglutamate

Bio-Activity Profile

Function

-

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

RECORD: Rec_0338486 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/