dbACP: A Comprehensive Database of Anti-Cancer Peptides

dbacp02469

General Description

Peptide name : ChBac3.4

Source/Organism : Goat

Linear/Cyclic : Not found

Chirality : L

Sequence Information

Sequence : RFRLPFRRPPIRIHPPPFYPPFRRFL

Peptide length: 26

C-terminal modification: Not found

N-terminal modification : Amidation

Non-natural peptide information: None

Activity Information

Assay type : TUNEL assay, Reactive oxygen intermediates (ROS) assay

Assay time : Not found

Activity : Not found

Cell line : Not specified

Cancer type : Breast cancer

Other activity : Anti-microbial activity

Physicochemical Properties

Amino acid composition bar chart :

Molecular mass : 3377.0487 Dalton

Aliphatic index : 0.6

Instability index : 141.269

Hydrophobicity (GRAVY) : -0.7

Isoelectric point : 12

Charge (pH 7) : 6.8462

Aromaticity : 0.230

Molar extinction coefficient (cysteine, cystine): (1490, 1490)

Hydrophobic/hydrophilic ratio : 1.88888888

hydrophobic moment : -0.118

Missing amino acid : C,W,Q,T,M,E,K,S,D,N,A,V,G

Most occurring amino acid : P

Most occurring amino acid frequency : 8

Least occurring amino acid : H

Least occurring amino acid frequency : 1

Structural Information

3D structure :

Secondary structure fraction (Helix, Turn, Sheet): (0.0, 0.3, 0.3)

SMILES Notation: CC[C@H](C)[C@H](NC(=O)[C@H](CCCNC(=N)N)NC(=O)[C@@H](NC(=O)[C@@H]1CCCN1C(=O)[C@@H]1CCCN1C(=O)[C@H](CCCNC(=N)N)NC(=O)[C@H](CCCNC(=N)N)NC(=O)[C@H](Cc1ccccc1)NC(=O)[C@@H]1CCCN1C(=O)[C@H](CC(C)C)NC(=O)[C@H](CCCNC(=N)N)NC(=O)[C@H](Cc1ccccc1)NC(=O)[C@@H](N)CCCNC(=N)N)[C@@H](C)CC)C(=O)N[C@@H](Cc1c[nH]cn1)C(=O)N1CCC[C@H]1C(=O)N1CCC[C@H]1C(=O)N1CCC[C@H]1C(=O)N[C@@H](Cc1ccccc1)C(=O)N[C@@H](Cc1ccc(O)cc1)C(=O)N1CCC[C@H]1C(=O)N1CCC[C@H]1C(=O)N[C@@H](Cc1ccccc1)C(=O)N[C@@H](CCCNC(=N)N)C(=O)N[C@@H](CCCNC(=N)N)C(=O)N[C@@H](Cc1ccccc1)C(=O)N[C@@H](CC(C)C)C(=O)O

Secondary Structure :

Method Prediction
GOR HETCTTTCCTCECCCCCCCCCTHHEE
Chou-Fasman (CF) CCCCCCCCCEECCCCCCCCCCCCCCC
Neural Network (NN) CCCCCCCCCCCCCCCCCCCCCCCEEE
Joint/Consensus CCCCCCCCCCCCCCCCCCCCCCCCEE

Molecular Descriptors and ADMET Properties

Molecular Descriptors: Click here to download

ADMET Properties: Click here to download

Cross Referencing databases

Pubmed Id : 32947811

Uniprot : Not available

PDB : Not available

CancerPPD : Not available

ApIAPDB : Not available

CancerPPD2 ID : Not available

Reference

1 : Liscano Y, et al. Peptides with Dual Antimicrobial-Anticancer Activity: Strategies to Overcome Peptide Limitations and Rational Design of Anticancer Peptides. Molecules. 2020; 25:(unknown pages). doi: 10.3390/molecules25184245

Literature

Paper title : Peptides with Dual Antimicrobial-Anticancer Activity: Strategies to Overcome Peptide Limitations and Rational Design of Anticancer Peptides.

Doi : https://doi.org/10.3390/molecules25184245

Abstract : Peptides are naturally produced by all organisms and exhibit a wide range of physiological, immunomodulatory, and wound healing functions. Furthermore, they can provide with protection against microorganisms and tumor cells. Their multifaceted performance, high selectivity, and reduced toxicity have positioned them as effective therapeutic agents, representing a positive economic impact for pharmaceutical companies. Currently, efforts have been made to invest in the development of new peptides with antimicrobial and anticancer properties, but the poor stability of these molecules in physiological environments has triggered a bottleneck. Therefore, some tools, such as nanotechnology and in silico approaches can be applied as alternatives to try to overcome these obstacles. In silico studies provide a priori knowledge that can lead to the development of new anticancer peptides with enhanced biological activity and improved stability. This review focuses on the current status of research in peptides with dual antimicrobial-anticancer activity, including advances in computational biology using in silico analyses as a powerful tool for the study and rational design of these types of peptides.