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MYP_048493
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Basic Information
Mem-CC
Hormonal / Endocrine ▸ Hormone peptide
Metabolic
Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide
Standard
8 amino acids
C47H62N10O16
Standard
Sequence
ELNYSPDW
Physicochemical Analysis
1023.05 Da
4.05
-2.16
-2.33
-0.2704
-1.41
0.23
-0.04
54.25
48.75
0.2500
6990.00
6990.00
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
432.17
-2.78
14.0
14.0
28.0
73.0
4.0
8.0
Structural Visualization
3D PDB MODEL
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2D CHEMICAL STRUCTURE
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Experimental Records
RECORD: Rec_0018641 VERIFIED: YES
Provenance & Taxonomy
Anoplotrupes stercorosus [Animal]
Mem-CC
260542
Structure & Mods
linear peptide [Linear]
noncanonical stereochemical modification [Modified]
Pyroglutamate
Amidation
Bio-Activity Profile
-
Mammalian: 1 hour; Yeast: 30 min; E. coli: >10 hour
PaperSource-linked PubMed record(s) for Mem-CC (Anoplotrupes stercorosus): PMID 2039445 PMID2039445 Evidence URLhttps://pubmed.ncbi.nlm.nih.gov/2039445/
RECORD: Rec_0133115 VERIFIED: YES
Provenance & Taxonomy
Anoplotrupes stercorosus [Animal]
AKH/HRTH/RPCH
260542
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Pyroglutamate
Amidation
Bio-Activity Profile
Neuropeptide Invertebrate neurohormone Metabolic
PMID2039445 Evidence URLhttps://pubmed.ncbi.nlm.nih.gov/2039445/
RECORD: Rec_0193488 VERIFIED: YES
Provenance & Taxonomy
Melolontha melolontha [Animal]
AKH/HRTH/RPCH
7061
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Pyroglutamate
Amidation
Bio-Activity Profile
Neuropeptide Invertebrate neurohormone Metabolic
PMID2039445 Evidence URLhttps://pubmed.ncbi.nlm.nih.gov/2039445/
RECORD: Rec_0319543 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/