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MYP_149238
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Basic Information
PRQFVamide 1 6
Metabolic ▸ Appetite and feeding regulation ▸ Feeding regulator
Neurological / Signaling ▸ Neuromodulation
Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide
Regulatory peptide ▸ Biological regulation
Standard
5 amino acids
C30H48N8O8
Standard
Sequence
VREFV
Physicochemical Analysis
648.75 Da
5.97
-0.26
-0.48
-0.0526
0.64
0.89
0.02
8.00
116.00
0.2000
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
278.92
-0.98
10.0
8.0
20.0
46.0
1.0
4.0
Structural Visualization
3D PDB MODEL
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2D CHEMICAL STRUCTURE
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Experimental Records
RECORD: Rec_0111292 VERIFIED: NO
Provenance & Taxonomy
Deroceras reticulatum [Animal]
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Amidation
Bio-Activity Profile
Neuropeptide
RECORD: Rec_0129246 VERIFIED: YES
Provenance & Taxonomy
Aplysia californica [Animal]
VREFV-amide
6500
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Amidation
Bio-Activity Profile
Neuropeptide Neuromodulator Metabolic regulation Physiological regulation Feeding regulator
Mammalian: 100 hour; Yeast: >20 hour; E. coli: >10 hour
PaperSource-linked PubMed record(s) for VREFV-amide (Aplysia californica): PMID 12612009 PMID12612009 Evidence URLhttps://pubmed.ncbi.nlm.nih.gov/12612009/
RECORD: Rec_0402335 VERIFIED: YES
Provenance & Taxonomy
Aplysia californica [Animal]
6500
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Amidation
Bio-Activity Profile
-
PMID12612009 Evidence URLhttps://pubmed.ncbi.nlm.nih.gov/12612009/
RECORD: Rec_0422427 VERIFIED: YES
Provenance & Taxonomy
not reported [other]
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
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/