dbACP: A Comprehensive Database of Anti-Cancer Peptides

dbacp06754

General Description

Peptide name : 37-mer peptide

Source/Organism : Synthetic

Linear/Cyclic : Linear

Chirality : L

Sequence Information

Sequence : TKEQKEQIAKATGLTTKQVRNWYVQLNASIKVCMCSC

Peptide length: 37

C-terminal modification: Linear

N-terminal modification : Free

Non-natural peptide information:

Activity Information

Assay type : MTT assay

Assay time : 24-h

Activity : IC50 = 76.4 ± 0.6015 μM

Cell line : SNU-449

Cancer type : Liver Cancer

Other activity : Antimicrobial

Physicochemical Properties

Amino acid composition bar chart :

Molecular mass : 4202.8989 Dalton

Aliphatic index : 0.737

Instability index : 35.7622

Hydrophobicity (GRAVY) : -0.405

Isoelectric point : 9.3014

Charge (pH 7) : 3.3681

Aromaticity : 5.405

Molar extinction coefficient (cysteine, cystine): (3, 1)

Hydrophobic/hydrophilic ratio : 0.7619

hydrophobic moment : 0.6548

Missing amino acid : D,F,H,P

Most occurring amino acid : K

Most occurring amino acid frequency : 5

Least occurring amino acid : G

Least occurring amino acid frequency : 1

Structural Information

3D structure :

Secondary structure fraction (Helix, Turn, Sheet): (35., 13., 35.)

SMILES Notation: CC[C@H](C)[C@H](NC(=O)[C@H](CCC(N)=O)NC(=O)[C@H](CCC(=O)O)NC(=O)[C@H](CCCCN)NC(=O)[C@H](CCC(N)=O)NC(=O)[C@H](CCC(=O)O)NC(=O)[C@H](CCCCN)NC(=O)[C@@H](N)[C@@H](C)O)C(=O)N[C@@H](C)C(=O)N[C@@H](CCCCN)C(=O)N[C@@H](C)C(=O)N[C@H](C(=O)NCC(=O)N[C@@H](CC(C)C)C(=O)N[C@H](C(=O)N[C@H](C(=O)N[C@@H](CCCCN)C(=O)N[C@@H](CCC(N)=O)C(=O)N[C@H](C(=O)N[C@@H](CCCNC(=N)N)C(=O)N[C@@H](CC(N)=O)C(=O)N[C@@H](Cc1c[nH]c2ccccc12)C(=O)N[C@@H](Cc1ccc(O)cc1)C(=O)N[C@H](C(=O)N[C@@H](CCC(N)=O)C(=O)N[C@@H](CC(C)C)C(=O)N[C@@H](CC(N)=O)C(=O)N[C@@H](C)C(=O)N[C@@H](CO)C(=O)N[C@H](C(=O)N[C@@H](CCCCN)C(=O)N[C@H](C(=O)N[C@@H](CS)C(=O)N[C@@H](CCSC)C(=O)N[C@@H](CS)C(=O)N[C@@H](CO)C(=O)N[C@@H](CS)C(=O)O)C(C)C)[C@@H](C)CC)C(C)C)C(C)C)[C@@H](C)O)[C@@H](C)O)[C@@H](C)O

Secondary Structure :

Method Prediction
GOR HHHHHHHHHHHHTEEEEEEEEEEEEHCCTEEEEEETT
Chou-Fasman (CF) HHHHHHHHHHEEEEEECEEEEEEECCCCEECEEECCC
Neural Network (NN) CCCCHHHHHHHCCCCHHCCCHHHHHHCCCCEEEEECC
Joint/Consensus HHHHHHHHHHHCCEEEEEEEEEEECCCCCEEEEEECC

Molecular Descriptors and ADMET Properties

Molecular Descriptors: Click here to download

ADMET Properties: Click here to download

Cross Referencing databases

Pubmed Id : 37495988.0

Uniprot : Not available

PDB : Not available

CancerPPD : Not available

ApIAPDB : Not available

CancerPPD2 ID: 7441

Reference

1 : Abdou YT, et al. Characterization of a novel peptide mined from the Red Sea brine pools and modified to enhance its anticancer activity. BMC Cancer. 2023; 23:699. doi: 10.1186/s12885-023-11045-4

Literature

Paper title : Characterization of a novel peptide mined from the Red Sea brine pools and modified to enhance its anticancer activity.

Doi : https://doi.org/10.1186/s12885-023-11045-4

Abstract : Drug resistance is a major cause of the inefficacy of conventional cancer therapies, and often accompanied by severe side effects. Thus, there is an urgent need to develop novel drugs with low cytotoxicity, high selectivity and minimal acquired chemical resistance. Peptide-based drugs (less than 0.5 kDa) have emerged as a potential approach to address these issues due to their high specificity and potent anticancer activity. In this study, we developed a support vector machine model (SVM) to detect the potential anticancer properties of novel peptides by scanning the American University in Cairo (AUC) Red Sea metagenomics library. We identified a novel 37-mer antimicrobial peptide through SVM pipeline analysis and characterized its anticancer potential through in silico cross-examination. The peptide sequence was further modified to enhance its anticancer activity, analyzed for gene ontology, and subsequently synthesized. To evaluate the anticancer properties of the modified 37-mer peptide, we assessed its effect on the viability and morphology of SNU449, HepG2, SKOV3, and HeLa cells, using an MTT assay. Additionally, we evaluated the migration capabilities of SNU449 and SKOV3 cells using a scratch-wound healing assay. The targeted selectivity of the modified peptide was examined by evaluating its hemolytic activity on human erythrocytes. Treatment with the peptide significantly reduced cell viability and had a critical impact on the morphology of hepatocellular carcinoma (SNU449 and HepG2), and ovarian cancer (SKOV3) cells, with a marginal effect on cervical cancer cell lines (HeLa). The viability of a human fibroblast cell line (1Br-hTERT) was also significantly reduced by peptide treatment, as were the proliferation and migration abilities of SNU449 and SKOV3 cells. The annexin V assay revealed programmed cell death (apoptosis) as one of the potential cellular death pathways in SNU449 cells upon peptide treatment. Finally, the peptide exhibited antimicrobial effects on both gram-positive and gram-negative bacterial strains. The findings presented here suggest the potential of our novel peptide as a potent anticancer and antimicrobial agent.