Peptide Database

Peptide NameFMRFamide-related peptide

Function Ontology

Neurological / Signaling ▸ Neuromodulation

Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide

Standard StatusStandard

Sequence Length20 amino acids

Chemical FormulaC85H143N23O32

DescriptionStandard

        SVATAPVEAKAVEAGNKDIE
    

Molecular Weight1999.18 Da

Isoelectric Point (pI)4.62

Net Charge (pH 7.0)-2.53

Net Charge (pH 7.4) -2.75

Charge Density (pH 7.0) -0.1264

GRAVY Index-0.14

Hydrophobic Moment 0.56

Boman Index0.06

Instability Index58.33

Aliphatic Index 88.00

Aromaticity 0.0000

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 892.22

LogP -10.56

H-bond Donors 29.0

H-bond Acceptors 30.0

Rotatable Bonds 66.0

Heavy Atoms 140.0

Ring Count 1.0

Amide Bonds 20.0

3D PDB MODEL

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2D CHEMICAL STRUCTURE

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RECORD: Rec_0024696 VERIFIED: YES

Provenance & Taxonomy

OrganismHaliotis asinina [Animal]

FamilyFMRFamide-related peptide

Tax ID109174

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

Bio-Activity Profile

Function

Neuropeptide Neuromodulator

Half-LifeMammalian: 1.9 hour; Yeast: >20 hour; E. coli: >10 hour

RECORD: Rec_0118968 VERIFIED: YES

Provenance & Taxonomy

OrganismHaliotis asinina [Animal]

FamilyFMRFamide related peptide

Tax ID109174

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

Bio-Activity Profile

Function

RFamide Neuropeptide Neuromodulator

RECORD: Rec_0145840 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/