Two novel antimicrobial and anticancer peptides prediction from Vibrio sp. strain ES25

Abstract

Proteins from microbes are a large source of potential raw material for novel pharmaceuticals. Endophytic bacteria associated with algae associated have been shown to be particularly promising candidates. In a previous study, a crude protein extract was isolated from an endophytic Vibrio sp. strain ES25. The extract was found to have anti-microbial activity. Despite these promising results, further work was needed to characterize both the protein and the bacteria that produce it. In this study, we sought to increase the activity of the previously discovered protein through pepsin digestion as well as provide sequence data to characterize the bacterial isolate. Here, we show promising evidence that the hydrolysate produced (QA1d) was found to have a promising antimicrobial as well as anticancer properties. Through the DNA sequencing, we also provide better taxonomic information on the isolate. Finally using Liquid Chromatography-Mass Spectroscopy/Mass Spectroscopy (LC-MS/MS) and in silico prediction, we identify to novel peptides produced from the bacterial protein that were predicted to have multifunctional activity. These results shown here indicate these peptides are promising candidates for anticancer drug development or antibacterial agents for the food industry.

In silico identification and in vitro assessment of a potential anti-breast cancer activity of antimicrobial peptide retrieved from the ATMP1 Anabas testudineus fish peptide

“…The preferred net charge of AMPs is from 0 to +2 and amphipathic, which helps the AMPs to interact with and disrupt lipid membranes. Most AMPs are short lengths of fewer than 40 residues ( Hoskin & Ramamoorthy, 2008 ; Sugrani et al, 2020 ). After screening the results from the four bioinformatics databases, 212 peptides were eliminated as non-antimicrobial peptides, 69 peptides were eliminated as peptides with a negative or deficient net charge, 48 peptides were eliminated as peptides with low hydrophobicity, and the top ten AMPs were selected based on net charge, hydrophobicity, and anticancer activity.…”

“…The three-dimensional (3D) structure of peptides may be altered and improved to produce antimicrobial peptides (AMPs) with increased efficacy, selectivity, and reduced toxicity. The 3D structure of the peptides was used to create a distinct model for predicting anti-cancer peptides (ACPs), hemolytic peptides, and hazardous peptides ( Zhao et al, 2021 ; Sugrani et al, 2020 ; E-Kobon et al, 2016 ; Lamiable et al, 2016 ). Additionally, the previous study stated that there is a need to develop more peptides and proteins to increase their efficacy and selectivity against cancer cells ( Rozek et al, 2000 ; Chen, Lin & Lin, 2009 ).…”

Advancing Peptide-Based Cancer Therapy with AI: In-Depth Analysis of State-of-the-Art AI Models

“…Cancer is a caused by genetic mutations that result in the uncontrolled growth and spread of infiltrative abnormal cells that destroy normal tissues throughout the body. − Despite considerable advances in cancer therapy, traditional treatments remain associated with high costs, deleterious side effects, high recurrence, and low success rates. However, these limitations have led to increasing interest in developing novel agents including therapeutic peptides to treat cancer. − Such peptides have been discovered and developed through in vitro research and peptide–protein interaction interfaces, designed with the aid of computations, and identified using mass spectrometry. − Short anticancer peptides (ACPs) comprising 10–60 amino acids inhibit the growth or migration of tumor cells and the formation of tumor blood vessels. , These peptides have a low propensity to resistance and are not toxic to healthy cells. , They also have a quick time to market, high selectivity, and minimal attrition and are effective, safe, and well tolerated.…”