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MYP_045881
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Basic Information
Periviscerokinin-2
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
12 amino acids
C53H87N15O15
Standard
Sequence
GGSSGLIAFPRL
Physicochemical Analysis
1174.35 Da
9.75
0.76
0.56
0.0633
0.65
0.39
0.33
45.27
105.83
0.0833
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
476.99
-5.22
17.0
16.0
36.0
83.0
2.0
11.0
Structural Visualization
3D PDB MODEL
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2D CHEMICAL STRUCTURE
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Experimental Records
RECORD: Rec_0007624 VERIFIED: YES
Provenance & Taxonomy
Sphodromantis viridis [Animal]
Periviscerokinin
267111
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Amidation
Bio-Activity Profile
Neuropeptide Neuromodulator Myotropic
Mammalian: 30 hour; Yeast: >20 hour; E. coli: >10 hour
PaperSource-linked PubMed record(s) for Periviscerokinin-2 (Sphodromantis viridis): PMID 19808072 PMID19808072 Evidence URLhttps://pubmed.ncbi.nlm.nih.gov/19808072/
RECORD: Rec_0123104 VERIFIED: YES
Provenance & Taxonomy
Sphodromantis viridis [Animal]
Periviscerokinin
267111
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Amidation
Bio-Activity Profile
Neuropeptide Visceral activity Myoactive
PaperCAPA-peptides of praying mantids (Mantodea) PMID19808072 Evidence URLhttps://pubmed.ncbi.nlm.nih.gov/19808072/
RECORD: Rec_0421001 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/