Ab Initio Design of Amphipathic-Symmetric Peptides against SARS-CoV-2
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA756893 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR15564536.fastq.gz | Fastqsanger.gz | |||
| SRR15564537.fastq.gz | Fastqsanger.gz | |||
| SRR15564538.fastq.gz | Fastqsanger.gz | |||
| SRR15564539.fastq.gz | Fastqsanger.gz | |||
| SRR15564540.fastq.gz | Fastqsanger.gz |
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Project description:Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes severe health crisis and huge socioeconomic upheaval internationally. This study proposes an ab initio design strategy to obtain antiviral peptides to against SARS-CoV-2 infection. The study employed database filtering technology to generate 7 amphipathic-symmetric peptides named DFTavPs with low cytotoxicity and random coil structure. Three DFTavPs promoted SARS-CoV-2 pseudoviruses infection and three DFTavPs inhibited virus infection, which are accompanied by up-regulation or down-regulation of SARS-CoV receptor angiotensin-converting enzyme 2 mRNA levels. Particularly, microRNA profiling showed that some differentially expressed microRNAs had potential to target key factors for cell entry of SARS-CoV-2. Furthermore, we explored the relationship of parameters and antiviral efficacy index (AEI). The results suggested that higher AEI of coronavirus was most likely to occur at mean amphipathic moment between 0.3 and 0.4. Automated machine learning was used to construct parameters-AEI regression models for various viruses. The Extra-Trees and CatBoost had a good predicting performance for AEI of coronavirus (R2=0.794 and Rpearson=0.897) and human immunodeficiency virus (R2=0.735 and Rpearson=0.859), respectively. Overall, this strategy is expected to efficiently obtain huge amounts of potential peptide drugs with anti-SARS-CoV-2 activity, and machine learning models could contribute to discovery of high antivirus-activity peptides.
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Project description:Citrullinated and unmodified peptides (>95% purity, ProImmune AB) were immobilized onto a chemically modified glass slide, sera from RA patients and healthy controls were applied into the reactions sites and fluorescence intensity after incubation with anti-human IgG antibody was acquired in a laser scanner. Final results for each citrullinated peptide were calculated by subtracting the intensity values of corresponding arginine containing control peptide from citrullinated peptide for all RA patients and controls.
2015-10-25 | E-MTAB-3606 | biostudies-arrayexpress
Project description:The continuous and rapid spread of the COVID-19 pandemic has emphasized the need to seek new therapeutic and prophylactic treatments. Peptide inhibitors are a valid alternative approach for the treatment of emerging viral infections, mainly due to their low toxicity and high efficiency. Recently, two small nucleotide signatures were identified in the genome of some members of the Coronaviridae family and many other human pathogens. In this study, we investigated whether the corresponding amino acid sequences of such nucleotide sequences could have effects on the viral infection of two representative human coronaviruses: HCoV-OC43 and SARS-CoV-2. Our results showed that the synthetic peptides analyzed inhibit the infection of both coronaviruses in a dose-dependent manner by binding the RBD of the Spike protein, as suggested by molecular docking and validated by biochemical studies. The peptides tested do not provide toxicity on cultured cells or human erythrocytes and are resistant to human serum proteases, indicating that they may be very promising antiviral peptides.
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Project description:T cell-mediated immunity seems to play a critical role against SARS-CoV-2 infection and establishing protective memory. Yet the repertoire of viral epitopes responsible for activation of T cell responses remains mostly unknown. Identification and characterization of viral peptides presented on class I human leukocyte antigen (HLA-I) will reveal the viral signatures as seen by cytotoxic T cells that can then be harnessed for the development of effective vaccines. Here, we report the first HLA-I immunopeptidome of SARS-CoV-2 in two human cell lines at different times post-infection using mass spectrometry. We found HLA-I peptides derived not only from canonical ORFs, but also from internal out-of-frame ORFs in Spike and Nucleoprotein not currently captured by vaccine approaches. Whole proteome analysis revealed that expression of ubiquitination pathway proteins, and the proteasome maturation protein, POMP, were significantly altered in infected cells. Retrospective analysis of computational predictions highlighted shortcomings of in silico-only approaches in recovering the observed viral epitopes. Finally, given the experimental evidence for endogenous processing and presentation of the viral peptides we detected, we estimated that at least one HLA-A, -B, or -C allele is covered by at least one peptide for 99% of the population. These biological insights and the list of naturally presented SARS-CoV-2 peptides will facilitate data-driven selection of peptides for immune monitoring and vaccine development.
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Project description:Various bis-benzimidazole derivatives have been reported to possess activity against Gram-positive pathogens. No mechanism of action has been elucidated to fully account for the antibacterial activity of this class of compounds. A group of symmetric bis-benzimidazoles (BBZ) designed as anticancer agents have previously been shown to possess moderate antiproliferative activity. We sought to assess the antibacterial activity and mechanism of action of BBZ compounds against Staphylococcus aureus. Antibacterial activities were assessed by determination of minimal inhibitory concentrations (MICs), time-kill curves, and scanning electron microscopy. Transcriptional responses to BBZ treatment were determined using whole genome microarrays. Activities against bacterial type II topoisomerases were investigated using in vitro supercoiling, decatenation, DNA binding, and DNA cleavage inhibition assays. MICs for EMRSA-16 were between 0.03 and 0.5 μg/mL. The compounds showed concentration-dependent bactericidal activity and induced cell swelling and lysis. Transcriptional responses to BBZ were consistent with topoisomerase inhibition and DNA damage. A subset of BBZ compounds inhibited S. aureus DNA gyrase supercoiling activity with IC50 values in the range of 5−10 μM. This inhibition was subsequently shown to operate through both inhibition of binding of DNA gyrase to DNA and accumulation of single-stranded DNA breaks. We conclude that BBZ compounds are potent antistaphylococcal agents and operate at least in part through DNA gyrase inhibition, leading to the accumulation of single-stranded DNA breaks, and by preventing the binding of gyrase to DNA. [Data is also available from http://bugs.sgul.ac.uk/E-BUGS-106]
2012-10-14 | E-BUGS-106 | biostudies-arrayexpress
Project description:Antimicrobial peptides (AMPs) are ubiquitous amongst living organisms and are part of the innate immune system with the ability to kill pathogens directly or indirectly by modulating the immune system. AMPs have potential as a novel therapeutic against bacteria due to their quick-acting mechanism of action that prevents bacteria from developing resistance. Additionally, there is a dire need for therapeutics with activity specifically against Gram-negative bacterial infections that are intrinsically difficult to treat, with or without acquired drug resistance. Development of new antibiotics has slowed in recent years and novel therapeutics (like AMPs) with a focus against Gram-negative bacteria are needed. We designed eight novel AMPs, termed PHNX peptides, using ab initio computational design (database filtering technology combined with the novel positional analysis on APD3 dataset of AMPs with activity against Gram-negative bacteria) and assessed their theoretical function using published machine learning algorithms, and finally, validated their activity in our laboratory. These AMPs were tested to establish their minimum inhibitory concentration (MIC) and half-maximal effective concentration (EC50) under CLSI methodology against antibiotic resistant and antibiotic susceptible Escherichia coli and Staphylococcus aureus. Laboratory-based experimental results were compared to computationally predicted activities for each of the peptides to ascertain the accuracy of the computational tools used. PHNX-1 demonstrated antibacterial activity (under high and low-salt conditions) against antibiotic resistant and susceptible strains of Gram-positive and Gram-negative bacteria and PHNX-4 to -8 demonstrated low-salt antibacterial activity only. The AMPs were then evaluated for cytotoxicity using hemolysis against human red blood cells and demonstrated some hemolysis which needs to be further evaluated. In this study, we successfully developed a design methodology to create synthetic AMPs with a narrow spectrum of activity where the PHNX AMPs demonstrated higher antibacterial activity against Gram-negative bacteria compared to Gram-positive bacteria. Thus, these peptides present novel synthetic peptides with a potential for therapeutic use. Based on our findings, we propose upfront selection of the peptide dataset for analysis, an additional step of positional analysis to add to the ab initio database filtering technology (DFT) method, and we present laboratory data on the novel, synthetically designed AMPs to validate the results of the computational approach. We aim to conduct future in vivo studies which could establish these AMPs for clinical use.
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