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MYP_006883
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Basic Information
Pyrokinin-5
Hormonal / Endocrine ▸ Hormone peptide
Neurological / Signaling ▸ Neuromodulation
Neurological / Signaling ▸ Neuromuscular and muscle activity ▸ Myotropic activity
Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide
Standard
16 amino acids
C71H106N20O24S
Standard
Sequence
SASSGESSGMWFGPRL
Physicochemical Analysis
1655.79 Da
5.72
-0.54
-0.75
-0.0336
-0.34
0.25
0.11
36.06
30.62
0.1250
5500.00
5500.00
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
707.17
-10.05
26.0
25.0
51.0
116.0
4.0
15.0
Structural Visualization
3D PDB MODEL
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2D CHEMICAL STRUCTURE
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Experimental Records
RECORD: Rec_0107814 VERIFIED: YES
Provenance & Taxonomy
Ergaula capucina [Animal]
Pyrokinin
76901
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Amidation
Bio-Activity Profile
Neuropeptide Invertebrate neurohormone
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_0186458 VERIFIED: YES
Provenance & Taxonomy
Ergaula capucina [Animal]
Pyrokinin
76901
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Amidation
Bio-Activity Profile
Hormone Endocrine Neuropeptide Neuromodulator Myotropic
Mammalian: 1.9 hour; Yeast: >20 hour; E. coli: >10 hour
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_0398223 VERIFIED: YES
Provenance & Taxonomy
not reported [other]
Pyrokinin/PBAN
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/