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MYP_097170
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Basic Information
Ecdysis-triggering hormone 2
Hormonal / Endocrine ▸ Hormone peptide
Neurological / Signaling ▸ Neuromodulation
Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide
Regulatory peptide ▸ Biological modulation
Standard
15 amino acids
C78H132N22O21
Standard
Sequence
GENFAIKNLKTIPRI
Physicochemical Analysis
1714.02 Da
9.99
1.76
1.55
0.1174
-0.24
0.68
-0.02
-23.98
110.67
0.0667
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
719.58
-5.71
24.0
23.0
58.0
121.0
2.0
16.0
Structural Visualization
3D PDB MODEL
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2D CHEMICAL STRUCTURE
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Experimental Records
RECORD: Rec_0089714 VERIFIED: YES
Provenance & Taxonomy
Drosophila melanogaster [Animal]
Ecdysis-triggering hormone
7227
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Bio-Activity Profile
Hormone Endocrine Neuropeptide Neuromodulator Receptor modulation
Mammalian: 30 hour; Yeast: >20 hour; E. coli: >10 hour
PaperSource-linked PubMed record(s) for Ecdysis-triggering hormone 2 (Drosophila melanogaster): PMID 16441518 PMID16441518 Evidence URLhttps://pubmed.ncbi.nlm.nih.gov/16441518/
RECORD: Rec_0203552 VERIFIED: NO
Provenance & Taxonomy
Drosophila melanogaster [Animal]
7227
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Amidation
Bio-Activity Profile
Hormone
RECORD: Rec_0249286 VERIFIED: YES
Provenance & Taxonomy
Drosophila melanogaster [Animal]
Ecdysis triggering hormone
7227
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Amidation
Bio-Activity Profile
Neuropeptide Developmental hormone
PMID16441518 Evidence URLhttps://pubmed.ncbi.nlm.nih.gov/16441518/
RECORD: Rec_0390209 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/