Peptide Database

Peptide NameExtended FMRFamide-10

Function Ontology

Neurological / Signaling ▸ Neuromodulation

Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide

Standard StatusStandard

Sequence Length11 amino acids

Chemical FormulaC53H80N14O17

DescriptionStandard

        PAPESGFIRDP
    

Molecular Weight1185.29 Da

Isoelectric Point (pI)4.37

Net Charge (pH 7.0)-1.04

Net Charge (pH 7.4) -1.10

Charge Density (pH 7.0) -0.0943

GRAVY Index-0.76

Hydrophobic Moment 0.25

Boman Index-0.03

Instability Index77.42

Aliphatic Index 44.55

Aromaticity 0.0909

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 479.48

LogP -4.78

H-bond Donors 16.0

H-bond Acceptors 16.0

Rotatable Bonds 33.0

Heavy Atoms 84.0

Ring Count 4.0

Amide Bonds 10.0

3D PDB MODEL

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2D CHEMICAL STRUCTURE

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RECORD: Rec_0032360 VERIFIED: YES

Provenance & Taxonomy

OrganismAustrophasma rawsonvillense [Animal]

FamilyFMRFamide related peptide

Tax ID253137

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

Bio-Activity Profile

Function

RFamide Neuropeptide Neuromodulator

RECORD: Rec_0319923 VERIFIED: YES

Provenance & Taxonomy

OrganismAustrophasma rawsonvillense [Animal]

FamilyExtended FMRFamide

Tax ID253137

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

Bio-Activity Profile

Function

Neuropeptide Neuromodulator

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

RECORD: Rec_0409791 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/