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MYP_132473
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Basic Information
FMRFamide-like peptide
Metabolic ▸ Appetite and feeding regulation ▸ Feeding regulator
Neurological / Signaling ▸ Neuromodulation
Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide
Regulatory peptide ▸ Biological regulation
Reproductive biology ▸ Reproductive modulation
Standard
10 amino acids
C64H95N17O15
Standard
Sequence
KNNKFEFIRF
Physicochemical Analysis
1342.54 Da
9.99
1.76
1.55
0.1761
-0.99
0.30
-0.29
32.68
39.00
0.3000
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
562.64
-3.33
19.0
17.0
46.0
96.0
3.0
11.0
Structural Visualization
3D PDB MODEL
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2D CHEMICAL STRUCTURE
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Experimental Records
RECORD: Rec_0158937 VERIFIED: YES
Provenance & Taxonomy
Caenorhabditis elegans [Animal]
FMRFamide-like peptide
6239
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Bio-Activity Profile
Neuropeptide Neuromodulator Metabolic regulation Physiological regulation Reproductive regulator Feeding regulator
Mammalian: 1.3 hour; Yeast: 3 min; E. coli: 2 min
PaperSource-linked PubMed record(s) for FMRFamide-like peptide (Caenorhabditis elegans): PMID 19843350 PMID19843350 Evidence URLhttps://pubmed.ncbi.nlm.nih.gov/19843350/
RECORD: Rec_0173627 VERIFIED: YES
Provenance & Taxonomy
Caenorhabditis elegans [Animal]
FMRFamide related peptide
6239
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Amidation
Bio-Activity Profile
RFamide Neuropeptide Neuromodulator
PMID19843350 Evidence URLhttps://pubmed.ncbi.nlm.nih.gov/19843350/
RECORD: Rec_0382783 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/