Peptide Database

Peptide NameSDPFFRF-amide

Function Ontology

Neurological / Signaling ▸ Neuromodulation

Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide

Standard StatusStandard

Sequence Length7 amino acids

Chemical FormulaC45H58N10O11

DescriptionStandard

        SDPFFRF
    

Molecular Weight915.00 Da

Isoelectric Point (pI)5.55

Net Charge (pH 7.0)-0.54

Net Charge (pH 7.4) -0.75

Charge Density (pH 7.0) -0.0770

GRAVY Index-0.29

Hydrophobic Moment 0.67

Boman Index0.01

Instability Index36.09

Aliphatic Index 0.00

Aromaticity 0.4286

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 348.56

LogP -1.73

H-bond Donors 12.0

H-bond Acceptors 11.0

Rotatable Bonds 25.0

Heavy Atoms 66.0

Ring Count 4.0

Amide Bonds 6.0

3D PDB MODEL

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2D CHEMICAL STRUCTURE

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RECORD: Rec_0172257 VERIFIED: NO

Provenance & Taxonomy

OrganismLymnaea stagnalis [Animal]

FamilyFMRFamide related peptide

Tax ID6523

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

C-TermAmidation

Bio-Activity Profile

Function

RFamide Neuropeptide Neuromodulator

RECORD: Rec_0179414 VERIFIED: YES

Provenance & Taxonomy

OrganismLymnaea stagnalis [Animal]

FamilySDPFFRF-amide

Tax ID6523

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

C-TermAmidation

Bio-Activity Profile

Function

Neuropeptide Neuromodulator

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

RECORD: Rec_0215606 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/