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MYP_126857
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Basic Information
GV1001
Anticancer
Antimicrobial
Delivery / Targeting ▸ Cell penetration ▸ Cell-penetrating peptide
Delivery / Targeting ▸ Drug delivery vehicle
Immunology ▸ Inflammation modulation ▸ Anti-inflammatory
Therapeutic / Biomedical activity ▸ Dermatology / Cosmetic bioactivity ▸ Skin aging modulation ▸ Anti-aging
Standard
16 amino acids
C85H146N26O21
Standard
Sequence
EARPALLTSRLRFIPK
Physicochemical Analysis
1868.23 Da
11.71
2.84
2.66
0.1772
-0.21
0.45
-0.18
55.73
110.00
0.0625
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
771.72
-5.69
28.0
24.0
60.0
132.0
3.0
15.0
Structural Visualization
3D PDB MODEL
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2D CHEMICAL STRUCTURE
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Experimental Records
RECORD: Rec_0300071 VERIFIED: YES
Provenance & Taxonomy
not reported [other]
GV1001
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
None
None
Bio-Activity Profile
Cell-penetrating peptide Cargo delivery
PMID23827187 Evidence URLhttps://pubmed.ncbi.nlm.nih.gov/23827187/
RECORD: Rec_0386131 VERIFIED: YES
Provenance & Taxonomy
Homo sapiens [Animal]
Telomerase-derived peptide
9606
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Bio-Activity Profile
Anti-aging Neuroprotective
Male Sprague-Dawley rats (In vivo)
Cell viability assay; Cytotoxicity assay; Cell proliferation assay; ELISA; Western blot; Immunohistochemistry; Immunocytochemistry; PCR; ROS assay; Migration assay; Histology; Apoptosis assay; Enzyme activity assay
PaperNeuroprotective Effects of GV1001 in Animal Stroke Model and Neural Cells Subject to Oxygen-Glucose Deprivation/Reperfusion Injury PMID34649386 Evidence URLhttps://pubmed.ncbi.nlm.nih.gov/34649386/
RECORD: Rec_0411526 VERIFIED: YES
Provenance & Taxonomy
not reported [other]
Structure & Mods
linear peptide [Linear]
canonical L-amino-acid peptide [L]
Bio-Activity Profile
Anti-inflammatory
T cell assay
PaperBalachandran Manavalan et al. AIPpred: Sequence-Based Prediction of Anti-inflammatory Peptides Using Random Forest. Front Pharmacol. 2018. PMID: 29636690. https://pubmed.ncbi.nlm.nih.gov/29636690/ ; https://pmc.ncbi.nlm.nih.gov/articles/PMC5881105/ PMID29636690 Evidence URLhttps://pubmed.ncbi.nlm.nih.gov/29636690/
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