Peptide Database

Peptide NameNeuropeptide H

Function Ontology

Hormonal / Endocrine ▸ Hormone peptide

Neurological / Signaling ▸ Neuromodulation

Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide

Standard StatusStandard

Sequence Length36 amino acids

Chemical FormulaC153H249N47O54S

DescriptionStandard

        RSADGFGRMESLLTSLRGSAESPAALGEASAAHPLE
    

Molecular Weight3642.96 Da

Isoelectric Point (pI)5.10

Net Charge (pH 7.0)-2.14

Net Charge (pH 7.4) -2.40

Charge Density (pH 7.0) -0.0593

GRAVY Index-0.23

Hydrophobic Moment 0.59

Boman Index0.02

Instability Index45.56

Aliphatic Index 73.61

Aromaticity 0.0278

Extinction Coeff. Reduced 0.00

Extinction Coeff. Oxidized 0.00

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

Amino Acid Composition

TPSA 1606.73

LogP -21.71

H-bond Donors 57.0

H-bond Acceptors 54.0

Rotatable Bonds 119.0

Heavy Atoms 255.0

Ring Count 4.0

Amide Bonds 35.0

3D PDB MODEL

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2D CHEMICAL STRUCTURE

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RECORD: Rec_0004372 VERIFIED: YES

Provenance & Taxonomy

OrganismCardisoma carnifex [Animal]

FamilyNeuropeptide H

Tax ID6766

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

Bio-Activity Profile

Function

Hormone Endocrine Neuropeptide Neuromodulator

Half-LifeMammalian: 1 hour; Yeast: 2 min; E. coli: 2 min

RECORD: Rec_0380134 VERIFIED: YES

Provenance & Taxonomy

OrganismCardisoma carnifex [Animal]

Tax ID6766

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

Bio-Activity Profile

Function

Neuropeptide

RECORD: Rec_0387709 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/