Peptide Database

Peptide NameCerebrin

Function Ontology

Hormonal / Endocrine ▸ Hormone peptide

Neurological / Signaling ▸ Neuromodulation

Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide

Standard StatusStandard

Sequence Length17 amino acids

Chemical FormulaC79H126N20O28

DescriptionStandard

        NGGTADALYNLPDLEKI
    

Molecular Weight1803.96 Da

Isoelectric Point (pI)4.05

Net Charge (pH 7.0)-2.24

Net Charge (pH 7.4) -2.45

Charge Density (pH 7.0) -0.1316

GRAVY Index-0.37

Hydrophobic Moment 0.42

Boman Index0.09

Instability Index-0.26

Aliphatic Index 103.53

Aromaticity 0.0588

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 784.69

LogP -7.83

H-bond Donors 25.0

H-bond Acceptors 26.0

Rotatable Bonds 58.0

Heavy Atoms 127.0

Ring Count 2.0

Amide Bonds 18.0

3D PDB MODEL

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2D CHEMICAL STRUCTURE

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RECORD: Rec_0003969 VERIFIED: YES

Provenance & Taxonomy

OrganismAplysia californica [Animal]

FamilyCerebrin

Tax ID6500

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

C-TermAmidation

Bio-Activity Profile

Function

Hormone Endocrine Neuropeptide Neuromodulator

Half-LifeMammalian: 1.4 hour; Yeast: 3 min; E. coli: >10 hour

RECORD: Rec_0175556 VERIFIED: YES

Provenance & Taxonomy

OrganismAplysia californica [Animal]

Tax ID6500

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

C-TermAmidation

Bio-Activity Profile

Function

-

RECORD: Rec_0304534 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/