dbACP: A Comprehensive Database of Anti-Cancer Peptides

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

Pubmed Id : 15949629 18957441

Uniprot : Not available

PDB : Not available

CancerPPD : Not available

ApIAPDB : Click Here

CancerPPD2 ID : Not available

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.