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MYP_044913
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Basic Information
Scg-AST-10
Enzyme modulation ▸ Enzyme inhibition ▸ Invertebrate inhibitory neuropeptide
Hormonal / Endocrine ▸ Hormone peptide
Neurological / Signaling ▸ Neuropeptide activity ▸ Invertebrate inhibitory neuropeptide
Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide
Standard
11 amino acids
C57H82N16O15
Standard
Sequence
APAEHRFSFGL
Physicochemical Analysis
1231.36 Da
6.79
-0.11
-0.35
-0.0104
-0.09
0.20
0.13
37.25
53.64
0.1818
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
493.64
-3.96
17.0
16.0
36.0
88.0
4.0
10.0
Structural Visualization
3D PDB MODEL
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2D CHEMICAL STRUCTURE
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Experimental Records
RECORD: Rec_0153919 VERIFIED: YES
Provenance & Taxonomy
Schistocerca gregaria [Animal]
Allatostatin
7010
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Bio-Activity Profile
Neuropeptide Invertebrate inhibitory neuropeptide
PMID8902848 Evidence URLhttps://pubmed.ncbi.nlm.nih.gov/8902848/
RECORD: Rec_0301944 VERIFIED: YES
Provenance & Taxonomy
Schistocerca gregaria [Animal]
Scg-AST
7010
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Bio-Activity Profile
Hormone Endocrine
Mammalian: 4.4 hour; Yeast: >20 hour; E. coli: >10 hour
PaperSource-linked PubMed record(s) for Scg-AST-10 (Schistocerca gregaria): PMID 8902848 PMID8902848 Evidence URLhttps://pubmed.ncbi.nlm.nih.gov/8902848/
RECORD: Rec_0390477 VERIFIED: NO
Provenance & Taxonomy
Schistocerca gregaria [Animal]
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Amidation
Bio-Activity Profile
Neuropeptide
RECORD: Rec_0407248 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/