dbacp06061
General Description
Peptide name : Sesquin
Source/Organism : Seeds, Ground bean
Linear/Cyclic : Not found
Chirality : L
Sequence Information
Sequence : KTCENLADTY
Peptide length: 10
C-terminal modification: Not found
N-terminal modification : Free
Non-natural peptide information: None
Activity Information
Assay type : Not specified
Assay time : Not found
Activity : Not found
Cell line : Not found
Cancer type : Colorectal cancer
Other activity : Anti-microbial activity
Physicochemical Properties
Amino acid composition bar chart :
Molecular mass : 1157.251 Dalton
Aliphatic index : 0.49
Instability index : -14.52
Hydrophobicity (GRAVY) : -0.9
Isoelectric point : 4.3703
Charge (pH 7) : -1.2479
Aromaticity : 0.1
Molar extinction coefficient (cysteine, cystine): (1490, 1490)
Hydrophobic/hydrophilic ratio : 0.42857142
hydrophobic moment : -1.648
Missing amino acid : R,W,H,Q,P,M,I,F,S,V,G
Most occurring amino acid : T
Most occurring amino acid frequency : 2
Least occurring amino acid : K
Least occurring amino acid frequency : 1
Structural Information
3D structure :
Secondary structure fraction (Helix, Turn, Sheet): (0.4, 0.2, 0.4)
SMILES Notation: CC(C)C[C@H](NC(=O)[C@H](CC(N)=O)NC(=O)[C@H](CCC(=O)O)NC(=O)[C@H](CS)NC(=O)[C@@H](NC(=O)[C@@H](N)CCCCN)[C@@H](C)O)C(=O)N[C@@H](C)C(=O)N[C@@H](CC(=O)O)C(=O)N[C@H](C(=O)N[C@@H](Cc1ccc(O)cc1)C(=O)O)[C@@H](C)O
Secondary Structure :
| Method | Prediction |
|---|---|
| GOR | TCCTTTTHCE |
| Chou-Fasman (CF) | CCHHHHCCCC |
| Neural Network (NN) | CCCCCCCCCC |
| Joint/Consensus | CCCCCCCCCC |
Molecular Descriptors and ADMET Properties
Molecular Descriptors: Click here to download
ADMET Properties: Click here to download
Cross Referencing databases
Reference
1 : Wong JH and Ng TB. Sesquin, a potent defensin-like antimicrobial peptide from ground beans with inhibitory activities toward tumor cells and HIV-1 reverse transcriptase. Peptides. 2005; 26:1120-6. doi: 10.1016/j.peptides.2005.01.003
2 : Wang G, et al. APD2: the updated antimicrobial peptide database and its application in peptide design. Nucleic Acids Res. 2009; 37:D933-7. doi: 10.1093/nar/gkn823
Literature
Paper title : Sesquin, a potent defensin-like antimicrobial peptide from ground beans with inhibitory activities toward tumor cells and HIV-1 reverse transcriptase.
Doi : https://doi.org/10.1016/j.peptides.2005.01.003
Abstract : An antifungal peptide with a molecular mass around 7 kDa and an N-terminal sequence highly homologous to defensin was isolated from ground beans (Vigna sesquipedalis cv. 'Ground Bean'). The peptide was adsorbed on Affi-gel blue gel and on Mono S. It exerted an antifungal action on Botrytis cinerea, Fusarium oxysporum and Mycosphaerella arachidicola; and an antibacterial action on Escherichia coli B, Proteus vulgaris, Mycobacterium phlei and Bacillus megaterium. The antimicrobial activity was inhibited in presence of the 5 mM CaCl2 and MgCl2, but no inhibition was observed in 5 mM NaCl. The peptide exerted antiproliferative activity toward breast cancer (MCF-7) cells and leukemia M1 cells, this activity could not be inhibited by the ions mentioned above. It also exhibited some inhibitory activity toward human immunodeficiency virus-type 1 reverse transcriptase.
Paper title : APD2: the updated antimicrobial peptide database and its application in peptide design.
Doi : https://doi.org/10.1093/nar/gkn823
Abstract : The antimicrobial peptide database (APD, http://aps.unmc.edu/AP/main.php) has been updated and expanded. It now hosts 1228 entries with 65 anticancer, 76 antiviral (53 anti-HIV), 327 antifungal and 944 antibacterial peptides. The second version of our database (APD2) allows users to search peptide families (e.g. bacteriocins, cyclotides, or defensins), peptide sources (e.g. fish, frogs or chicken), post-translationally modified peptides (e.g. amidation, oxidation, lipidation, glycosylation or d-amino acids), and peptide binding targets (e.g. membranes, proteins, DNA/RNA, LPS or sugars). Statistical analyses reveal that the frequently used amino acid residues (>10%) are Ala and Gly in bacterial peptides, Cys and Gly in plant peptides, Ala, Gly and Lys in insect peptides, and Leu, Ala, Gly and Lys in amphibian peptides. Using frequently occurring residues, we demonstrate database-aided peptide design in different ways. Among the three peptides designed, GLK-19 showed a higher activity against Escherichia coli than human LL-37.