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MYP_008737
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Basic Information
Pyrokinin-4
Hormonal / Endocrine ▸ Hormone peptide
Neurological / Signaling ▸ Neuromodulation
Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide
Standard
12 amino acids
C62H93N19O20S
Standard
Sequence
DHMSHDVYSPRL
Physicochemical Analysis
1456.58 Da
5.98
-1.06
-1.37
-0.0887
-1.04
0.18
-0.19
69.83
56.67
0.0833
1490.00
1490.00
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
629.18
-6.23
22.0
22.0
44.0
102.0
4.0
11.0
Structural Visualization
3D PDB MODEL
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2D CHEMICAL STRUCTURE
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Experimental Records
RECORD: Rec_0012410 VERIFIED: YES
Provenance & Taxonomy
Celatoblatta [Animal]
Pyrokinin
153169
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Amidation
Bio-Activity Profile
Neuropeptide Neuromodulator
Mammalian: 1.1 hour; Yeast: 3 min; E. coli: >10 hour
PaperSource-linked PubMed record(s) for Pyrokinin-4 (Celatoblatta sp.): PMID 15626499 PMID15626499 Evidence URLhttps://pubmed.ncbi.nlm.nih.gov/15626499/
RECORD: Rec_0028292 VERIFIED: YES
Provenance & Taxonomy
Celatoblatta sp. [Animal]
Pyrokinin
303880
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Amidation
Bio-Activity Profile
Neuropeptide Invertebrate neurohormone
PaperPeptidomics of neurohemal organs from species of the cockroach family Blattidae: how do neuropeptides of closely related species differ? PMID15626499 Evidence URLhttps://pubmed.ncbi.nlm.nih.gov/15626499/
RECORD: Rec_0176787 VERIFIED: NO
Provenance & Taxonomy
Celatoblatta sp [Animal]
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Amidation
Bio-Activity Profile
Neuropeptide
RECORD: Rec_0283249 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/