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MYP_040156
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Basic Information
Angiotensin II
Annotation / Sequence feature ▸ Secretory pathway ▸ Secreted protein
Cardiovascular ▸ Vascular tone modulation ▸ Vasoactive peptide
Cardiovascular ▸ Vascular tone modulation ▸ Vasoconstrictor activity
Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide
Standard
11 amino acids
C60H86N16O15
Standard
Sequence
APGDRIYVHPF
Physicochemical Analysis
1271.42 Da
6.79
-0.12
-0.36
-0.0106
-0.25
0.29
0.13
34.64
70.91
0.1818
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
484.85
-2.49
16.0
16.0
34.0
91.0
5.0
10.0
Structural Visualization
3D PDB MODEL
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2D CHEMICAL STRUCTURE
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Experimental Records
RECORD: Rec_0032549 VERIFIED: YES
Provenance & Taxonomy
Crinia georgiana [Animal]
Serpin
8374
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Bio-Activity Profile
Secreted protein
PMID16470724 Evidence URLhttps://pubmed.ncbi.nlm.nih.gov/16470724/
RECORD: Rec_0099428 VERIFIED: NO
Provenance & Taxonomy
Crinia georgiana [Animal]
Angiotensin
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Bio-Activity Profile
Neuropeptide
RECORD: Rec_0136243 VERIFIED: YES
Provenance & Taxonomy
Crinia georgiana [Animal]
Angiotensin
8374
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Bio-Activity Profile
Vasoactive Vasoconstrictor
Mammalian: 4.4 hour; Yeast: >20 hour; E. coli: >10 hour
PaperSource-linked PubMed record(s) for Angiotensin II (Crinia georgiana): PMID 488254 PMID488254 Evidence URLhttps://pubmed.ncbi.nlm.nih.gov/488254/
RECORD: Rec_0425074 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/