Emerging Trends of Gold Nanostructures for Point-of-Care Biosensor-Based Detection of COVID-19

Molecular Biotechnology, Год журнала: 2024, Номер unknown

Опубликована: Май 4, 2024

Язык: Английский

---

Designing a Multiepitope Vaccine against the Foodborne Pathogenic Bacteria Listeria monocytogenes Using Subtractive Immunoinformatics Approaches

Frontiers in Bioscience-Landmark, Год журнала: 2024, Номер 29(5)

Опубликована: Май 9, 2024

Background: Listeria monocytogenes, a Gram-positive bacterium, is prominent foodborne pathogen that causes listeriosis and poses substantial health hazards worldwide. The continuing risk of outbreaks underlies the importance designing an effective prevention strategy developing robust immune response by reverse vaccinology approaches. This study aimed to provide critical approach for potent multiepitope vaccine against this disease. Methods: A chimeric peptide construct containing 5 B-cell epitopes, 16 major histocompatibility complex I (MHC-I) 18 MHC-II epitopes were used create subunit vaccination L. monocytogenes. safety was evaluated several online methods, molecular docking performed using ClusPro determine binding affinity. Immune simulation C-ImmSimm server demonstrate response. Results: results validated antigenicity, non-allergenicity, nontoxicity construct, confirming its suitability as vaccine. Molecular showed good score 1276.5 dynamics simulations confirmed construct’s efficacy, demonstrating promise candidate prophylaxis. population coverage high 91.04% with response, indicating antigen presentation dendritic cells production memory cells. Conclusions: findings highlight potential designed Listeria, paving way future advances in preventive methods design.

Язык: Английский

---

Development of a novel multiepitope vaccine against Menangle virus (MenV) using in-silico approaches by targeting its transmembrane proteins

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 21, 2025

Menangle Virus (MenV) is a zoonotic pathogenic virus that can penetrate humans, causing infection in them. It an essential threat to public health due the possibility of cross-species transmissions. Traditional vaccine development methods are time-consuming and resource-intensive, highlighting need for innovative approaches. This study uses computational techniques develop multiepitope MenV. We employed silico tools find potential B-cell, T-cell, MHC-binding epitopes viral proteome. To ensure their safety efficacy, these were evaluated antigenicity, allergenicity, toxicity. The selected assembled into construct optimized molecular stability immunogenicity. Studies docking MD simulations considered assess interaction candidates with human receptors, indicating strong immune response. goal developing this prepare future outbreaks. in-silico design proposes promising, efficient path effective preventative measures against MenV, potentially expediting production contributing world security.

Язык: Английский

---

Computational design of a glycosylated multi-epitope vaccine against HAsV-1 and HAsV-2 astrovirus for acute gastroenteritis

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 22, 2025

Язык: Английский

---

Targeting human inosine 5’ monophosphate dehydrogenase type 2 for anti-dengue lead identification – a computational approach

Journal of Biomolecular Structure and Dynamics, Год журнала: 2024, Номер unknown, С. 1 - 15

Опубликована: Март 22, 2024

Dengue is a rapidly evolving arboviral disease that mainly affects tropical and subtropical regions of the world. The lack therapeutic drugs effective vaccines suggests further resources need to be investigated. effectiveness existing dengue vaccine improbable as its efficacy depends on prior exposure virus(DENV). Although mechanism underlying action bioactive compounds limit viral replication less studied still needs explored, medicinal plants are excellent alternatives combat DENV infection. In current study, an in silico screening phytochemicals from Annona reticulata Linn. against human Impdh2 was performed using Autodock Vina. Daucosterol (−9.0 kcal/mol) Kaurenoic acid (−8.5 were chosen top hits based molecular interaction analysis. exposed pharmacokinetics toxicity properties determine their drug-like parameters. Molecular dynamics simulation studies Impdh2-top carried out investigate kinetic behaviour structural stabilities. binding free energies Impdh2-hit complexes determined MM-PBSA According overall conclusions showed good affinity high stability site residues target, therefore it recommended lead compound dengue.

Язык: Английский

---

Investigating the interplay of genetic variations, MCP-1 polymorphism, and docking with phytochemical inhibitors for combatting dengue virus pathogenicity through in silico analysis

Open Chemistry, Год журнала: 2024, Номер 22(1)

Опубликована: Янв. 1, 2024

Abstract Understanding ten significant of dengue virus a paramount due to its persistent threat across the globe causing numerous epidemic and millions deaths every year. Despite advancement in healthcare, emerging outbreaks continue claim lives annually. The with various serotype possesses challenge public health worldwide, transmission through arthropods which feed on blood higher animals further exacerbates impact. This elucidating mechanism factor contributing pathogenicity is essential for developing strategies combat spreading. A systemic review done while studying about Dengue serotypes evaluate relationship other viral load develop an inhibitor protein by using different bioinformatics tools silico molecular docking. Phytochemicals were chosen hit target site inhibiting active pathogenesis virus. phylogenetic lineage was observed members family. has same similarities some part genomic structure viruses. Data bases used trace genome Different components analyzed link developed among those within family members. Protein docking performed software auto pharmaceutical drug designing create serotype-2. comprehensive methodology employed our study including experimental computational techniques utilized. Further we presented results analysis genetic variation MCP-1 polymorphism phytochemical inhibitors.

Язык: Английский

---

INVESTIGATING THE RELATIONSHIP BETWEEN VEGF GENE POLYMORPHISM (RS699947) AND DENGUE SUSCEPTIBILITY AND IN-SILICO STUDY OF ANTI DENGUE BIOACTIVE COMPOUNDS

Applied Ecology and Environmental Research, Год журнала: 2024, Номер 22(3), С. 2027 - 2034

Опубликована: Янв. 1, 2024

An increased risk of developing severe dengue has been linked to the VEGF gene.Angiogenesis, which is involved in and maintaining blood vessels, controlled by protein.In addition influencing immunological responses, a major contributing factor vascular permeability seen patients.Technology transportation advancements have made it possible for travel quickly, outbreaks disease are now occurring several nations across continents, putting billions people's life danger.This research aimed perform mutational analysis serotypes 1 2 patients find potential antiviral inhibitors treatment.144 samples were analyzed,72 cases 72 controls.Mutational was done performing tetra arms PCR.Results showed no significant difference allele frequency among controls.89% 96% controls had Allele C. In comparison, 6% 3% A (p<0.0001) showing heterozygous condition.Bioinformatic phytochemicals that would be effective treatment dengue.Upon bioinformatic analysis, artemisinin, sanguinarine, chelidonine, glycyrrhisoflavone, taspine strong binding energies -8.7 -7.8 NS-1viral conclusion, genetic association existed between SNP phenotypic traits dengue.The extensive transmission serious effects make worldwide health issue.To create efficient treatments preventive measures combat dengue, essential understand molecular features virus host response.

Язык: Английский

---

Rational computational design and development of an immunogenic multiepitope vaccine incorporating transmembrane proteins of Staphylococcus lugdunensis

International Immunopharmacology, Год журнала: 2024, Номер 143, С. 113345 - 113345

Опубликована: Окт. 12, 2024

Язык: Английский

---