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MYP_006179
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Basic Information
Periviscerokinin-3
Neurological / Signaling ▸ Neuromodulation
Neurological / Signaling ▸ Neuromuscular and muscle activity ▸ Myoactive peptide
Neurological / Signaling ▸ Neuromuscular and muscle activity ▸ Myotropic activity
Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide
Neurological / Signaling ▸ Visceral muscle modulation
Standard
11 amino acids
C59H95N15O13
Standard
Sequence
PQVGLIPFPRV
Physicochemical Analysis
1222.48 Da
10.18
0.96
0.90
0.0871
0.57
0.31
0.30
37.57
123.64
0.0909
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
427.74
-1.51
14.0
14.0
34.0
87.0
4.0
11.0
Structural Visualization
3D PDB MODEL
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2D CHEMICAL STRUCTURE
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Experimental Records
RECORD: Rec_0076267 VERIFIED: YES
Provenance & Taxonomy
Polyphaga aegyptiaca [Animal]
Periviscerokinin
7085
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Amidation
Bio-Activity Profile
Neuropeptide Neuromodulator Myotropic
Mammalian: >20 hour; Yeast: >20 hour; E. coli: ?
PaperA proteomic approach for studying insect phylogeny: CAPA peptides of ancient insect taxa (Dictyoptera, Blattoptera) as a test case PMID19257902 Evidence URLhttps://pubmed.ncbi.nlm.nih.gov/19257902/
RECORD: Rec_0352568 VERIFIED: YES
Provenance & Taxonomy
Polyphaga aegyptiaca [Animal]
Periviscerokinin
7085
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Amidation
Bio-Activity Profile
Neuropeptide Visceral activity Myoactive
PaperA proteomic approach for studying insect phylogeny: CAPA peptides of ancient insect taxa (Dictyoptera, Blattoptera) as a test case PMID19257902 Evidence URLhttps://pubmed.ncbi.nlm.nih.gov/19257902/
RECORD: Rec_0383807 VERIFIED: YES
Provenance & Taxonomy
not reported [other]
CAPA
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/