Peptide Database

Peptide NameR15 gamma peptide

Function Ontology

Neurological / Signaling ▸ Neuromodulation

Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide

Standard StatusStandard

Sequence Length37 amino acids

Chemical FormulaC196H312N54O65S

DescriptionStandard

        QDVRQQLRMFDDLVQLRKLIETPSVYPSEEDEARLYD
    

Molecular Weight4496.96 Da

Isoelectric Point (pI)4.45

Net Charge (pH 7.0)-4.22

Net Charge (pH 7.4) -4.44

Charge Density (pH 7.0) -0.1141

GRAVY Index-0.89

Hydrophobic Moment 0.75

Boman Index-0.26

Instability Index86.00

Aliphatic Index 89.46

Aromaticity 0.0811

Extinction Coeff. Reduced 2980.00

Extinction Coeff. Oxidized 2980.00

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

Amino Acid Composition

TPSA 1976.17

LogP -17.54

H-bond Donors 67.0

H-bond Acceptors 62.0

Rotatable Bonds 152.0

Heavy Atoms 316.0

Ring Count 5.0

Amide Bonds 40.0

3D PDB MODEL

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2D CHEMICAL STRUCTURE

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RECORD: Rec_0037595 VERIFIED: YES

Provenance & Taxonomy

OrganismAplysia californica [Animal]

FamilyR15 gamma peptide

Tax ID6500

Structure & Mods

Configlinear peptide [Linear]

Chiralitynoncanonical stereochemical modification [Modified]

N-TermPyroglutamate

Bio-Activity Profile

Function

Neuropeptide Neuromodulator

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

RECORD: Rec_0063743 VERIFIED: YES

Provenance & Taxonomy

OrganismAplysia californica [Animal]

Tax ID6500

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

N-TermPyroglutamate

Bio-Activity Profile

Function

Neuropeptide

RECORD: Rec_0369016 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/