Nanotechnology and COVID-19 Convergence: Toward New Planetary Health Interventions Against the Pandemic

Sahoo, Panchanan; Dey, Jyotirmayee; Mahapatra, Soumya Ranjan; Ghosh, Arpan; Jaiswal, Aryan; Padhi, Santwana; Prabhuswamimath, Samudyata C.; Misra, Namrata; Suar, Mrutyunjay

doi:10.1089/omi.2022.0072

Cited by 19 publications

(9 citation statements)

References 116 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In fact, synthetic vaccines are more reliable than conventional [ 56 ]. This approach has been used against various pathogens such as Klebsiella pneumonia , Acinetobacter baumannii , SARS-CoV-2, microalgae, and Staphylococcus aureus [ [57] , [58] , [59] , [60] ]. In this scientific approach, based on the scientific evidence from the literature, we selected four candidate proteins that are reportedly involved in S. gordonii Infection.…”

Section: Discussionmentioning

confidence: 99%

Structural vaccinology-based design of multi-epitopes vaccine against Streptococcus gordonii and validation using molecular modeling and immune simulation approaches

Nasir,

Iftikhar,

Zubair

et al. 2023

Heliyon

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

Structural vaccinology-based design of multi-epitopes vaccine against Streptococcus gordonii and validation using molecular modeling and immune simulation approaches

Nasir,

Iftikhar,

Zubair

et al. 2023

Heliyon

View full text Add to dashboard Cite

“…There have been existing reports of exploiting putative drug targets of pathogenic organisms for vaccine development to elicit a robust immune response against the associated infections. Immunoinformatics approach has been previously employed to construct multi-epitope vaccines against Enterococcus faecium, Klebsiella pneumoniae, Pseudomonas aeruginosa, Acinetobacter baumannii and many other complications (Narang et al 2021 , 2022 ; Dey et al 2022a , b , c ; Sudeshna Panda et al 2022 ; Mahapatra et al 2022a , b ; Sahoo et al 2022 ). However, the current research article has focused on identifying therapeutic lead molecules against E. cloacae and evaluating their interaction profile with potent drug targets.…”

Section: Introductionmentioning

confidence: 99%

Translational protein RpsE as an alternative target for novel nucleoside analogues to treat MDR Enterobacter cloacae ATCC 13047: network analysis and molecular dynamics study

Debroy

Ramaiah

2023

World J Microbiol Biotechnol

View full text Add to dashboard Cite

The pathogenic Enterobacter cloacae subsp. cloacae str. ATCC 13047 has contemporarily emerged as a multi-drug resistant strain. To formulate an effective treatment option, alternative therapeutic methods need to be explored. The present study focused on Gene Interaction Network study of 46 antimicrobial resistance genes to reveal the densely interconnecting and functional hub genes in E. cloacae ATCC 13047. The AMR genes were subjected to clustering, topological and functional enrichment analysis, revealing rpsE (RpsE), acrA (AcrA) and arnT (ArnT) as novel therapeutic drug targets for hindering drug resistance in the pathogenic strain. Network topology further indicated translational protein RpsE to be exploited as a promising drug-target candidate for which the structure was predicted, optimized and validated through molecular dynamics simulations (MDS). Absorption, distribution, metabolism and excretion screening recognized ZINC5441082 ( N -Isopentyladenosine) (Lead_1) and ZINC1319816 (cyclopentyl-aminopurinyl-hydroxymethyl-oxolanediol) (Lead_2) as orally bioavailable compounds against RpsE. Molecular docking and MDS confirmed the binding efficacy and protein−ligand complex stability. Furthermore, binding free energy (G bind ) calculations, principal component and free energy landscape analyses affirmed the predicted nucleoside analogues against RpsE protein to be comprehensively examined as a potential treatment strategy against E. cloacae ATCC 13047. Supplementary information The online version contains supplementary material available at 10.1007/s11274-023-03634-z.

show abstract

“…Infectious diseases caused by microbial pathogens like viruses, bacteria, and fungi are globally responsible for increased morbidity and mortality (Mahapatra et al 2022a ). To date, over 6.8 million people have already died of COVID-19 (Coronavirus Disease 2019) pandemic caused by SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2) (Sahoo et al 2022 ), and the death toll is increasing day by day (Shawan et al 2021a , b ). Other viruses, such as HIV (Human Immunodeficiency Virus), Ebola, Zika, Dengue, etc., have a horrendous death rate and are walking on the same track (Xin et al 2023 ).…”

Section: Introductionmentioning

confidence: 99%

Advances in Computational and Bioinformatics Tools and Databases for Designing and Developing a Multi-Epitope-Based Peptide Vaccine

Shawan,

Sharma,

Halder

et al. 2023

Int J Pept Res Ther

View full text Add to dashboard Cite

A vaccine is defined as a biologic preparation that trains the immune system, boosts immunity, and protects against a deadly microbial infection. They have been used for centuries to combat a variety of contagious illnesses by means of subsiding the disease burden as well as eradicating the disease. Since infectious disease pandemics are a recurring global threat, vaccination has emerged as one of the most promising tools to save millions of lives and reduce infection rates. The World Health Organization reports that immunization protects three million individuals annually. Currently, multi-epitope-based peptide vaccines are a unique concept in vaccine formulation. Epitope-based peptide vaccines utilize small fragments of proteins or peptides (parts of the pathogen), called epitopes, that trigger an adequate immune response against a particular pathogen. However, conventional vaccine designing and development techniques are too cumbersome, expensive, and time-consuming. With the recent advancement in bioinformatics, immunoinformatics, and vaccinomics discipline, vaccine science has entered a new era accompanying a modern, impressive, and more realistic paradigm in designing and developing next-generation strong immunogens. In silico designing and developing a safe and novel vaccine construct involves knowledge of reverse vaccinology, various vaccine databases, and high throughput techniques. The computational tools and techniques directly associated with vaccine research are extremely effective, economical, precise, robust, and safe for human use. Many vaccine candidates have entered clinical trials instantly and are available prior to schedule. In light of this, the present article provides researchers with up-to-date information on various approaches, protocols, and databases regarding the computational designing and development of potent multi-epitope-based peptide vaccines that can assist researchers in tailoring vaccines more rapidly and cost-effectively.

show abstract

Nanotechnology and COVID-19 Convergence: Toward New Planetary Health Interventions Against the Pandemic

Cited by 19 publications

References 116 publications

Structural vaccinology-based design of multi-epitopes vaccine against Streptococcus gordonii and validation using molecular modeling and immune simulation approaches

Structural vaccinology-based design of multi-epitopes vaccine against Streptococcus gordonii and validation using molecular modeling and immune simulation approaches

Translational protein RpsE as an alternative target for novel nucleoside analogues to treat MDR Enterobacter cloacae ATCC 13047: network analysis and molecular dynamics study

Advances in Computational and Bioinformatics Tools and Databases for Designing and Developing a Multi-Epitope-Based Peptide Vaccine

Contact Info

Product

Resources

About