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MYP_050306
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Basic Information
FMRFamide-19
Neurological / Signaling ▸ Neuromodulation
Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide
Standard
11 amino acids
C56H85N17O17S
Standard
Sequence
SANAKNDFMRF
Physicochemical Analysis
1300.44 Da
8.46
0.46
0.25
0.0418
-0.78
0.44
-0.22
-4.62
18.18
0.1818
0.00
0.00
The radar chart summarizes major physicochemical dimensions for quick comparison, while exact numerical values remain listed on the left.
Residue Composition
Amino Acid Composition
Chemical Descriptors
585.95
-6.87
20.0
19.0
43.0
91.0
2.0
12.0
Structural Visualization
3D PDB MODEL
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2D CHEMICAL STRUCTURE
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Experimental Records
RECORD: Rec_0076466 VERIFIED: YES
Provenance & Taxonomy
Lucilia cuprina [Animal]
FMRFamide related peptide
7375
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Amidation
Bio-Activity Profile
RFamide Neuropeptide Neuromodulator
PaperExtended FMRFamides in dipteran insects: conservative expression in the neuroendocrine system is accompanied by rapid sequence evolution PMID18789334 Evidence URLhttps://pubmed.ncbi.nlm.nih.gov/18789334/
RECORD: Rec_0102115 VERIFIED: YES
Provenance & Taxonomy
Lucilia cuprina [Animal]
FMRFamide
7375
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Amidation
Bio-Activity Profile
Neuropeptide Neuromodulator
Mammalian: 1.9 hour; Yeast: >20 hour; E. coli: >10 hour
PaperExtended FMRFamides in dipteran insects: conservative expression in the neuroendocrine system is accompanied by rapid sequence evolution PMID18789334 Evidence URLhttps://pubmed.ncbi.nlm.nih.gov/18789334/
RECORD: Rec_0296642 VERIFIED: NO
Provenance & Taxonomy
Lucilia cuprina [Animal]
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Amidation
Bio-Activity Profile
Neuropeptide
RECORD: Rec_0330748 VERIFIED: YES
Provenance & Taxonomy
not reported [other]
FMRFamide-like peptide
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Amidation
Bio-Activity Profile
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/