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1.
RSC Adv ; 12(21): 13456-13463, 2022 Apr 28.
Article in English | MEDLINE | ID: mdl-35527731

ABSTRACT

The hydrothermal method was used to create dilute magnetic semiconductor nanoparticles of Zn1-x Co x O (x = 0, 0.01, 0.05, 0.09). The effect of cobalt doping on the microstructure, morphological and optical properties of Zn1-x Co x O was also studied and the Co doping to host ZnO was confirmed from XRD and EDX analysis. The structural analysis showed that doping of cobalt into ZnO decreased the crystallinity, but the preferred orientation didn't change. SEM analysis revealed that the cobalt dopant did not have a strong influence on the shape of the synthesized nanoparticles. No defect-related absorption peaks were observed in the UV-Vis spectra. The crystallinity of the doped samples was improved by high growth temperature and long growth time. Ferromagnetic behavior above room temperature was detected in co-doped ZnO nanoparticles. The ferromagnetic behavior increased with increasing Co (up to x = 0.05) doping. The ferromagnetic behavior declined when the Co content was further increased. Related research shows that doped ZnO nanoparticles have better dielectric, electrical conductivity, and magnetic properties than pure ZnO. This high ferromagnetism is usually a response reported for dilute magnetic semiconductors. These semiconductor nanoparticles were further used to designed spintronic based applications.

2.
Article in English | MEDLINE | ID: mdl-29868505

ABSTRACT

In South Asia, Haemaphysalis spinigera tick transmits Kyasanur Forest Disease Virus (KFDV), a flavivirus that causes severe hemorrhagic fever with neurological manifestations such as mental disturbances, severe headache, tremors, and vision deficits in infected human beings with a fatality rate of 3-10%. The disease was first reported in March 1957 from Kyasanur forest of Karnataka (India) from sick and dying monkeys. Since then, between 400 and 500 humans cases per year have been recorded; monkeys and small mammals are common hosts of this virus. KFDV can cause epizootics with high fatality in primates and is a level-4 virus according to the international biosafety rules. The density of tick vectors in a given year correlates with the incidence of human disease. The virus is a positive strand RNA virus and its genome was discovered to code for one polyprotein that is cleaved post-translationally into 3 structural proteins (Capsid protein, Envelope Glycoprotein M and Envelope Glycoprotein E) and 7 non-structural proteins (NS1, NS2A, NS2B, NS3, NS4A, NS4B, and NS5). KFDV has a high degree of sequence homology with most members of the TBEV serocomplex. Alkhurma virus is a KFDV variant sharing a sequence similarity of 97%. KFDV is classified as a NIAID Category C priority pathogen due to its extreme pathogenicity and lack of US FDA approved vaccines and therapeutics; also, the infectious dose is currently unknown for KFD. In India, formalin-inactivated KFDV vaccine produced in chick embryo fibroblast is being used. Nevertheless, further efforts are required to enhance its long-term efficacy. KFDV remains an understudied virus and there remains a lack of insight into its pathogenesis; moreover, specific treatment to the disease is not available to date. Environmental and climatic factors involved in disseminating Kyasanur Forest Disease are required to be fully explored. There should be a mapping of endemic areas and cross-border veterinary surveillance needs to be developed in high-risk regions. The involvement of both animal and health sector is pivotal for circumscribing the spread of this disease to new areas.


Subject(s)
Encephalitis Viruses, Tick-Borne/pathogenicity , Kyasanur Forest Disease/epidemiology , Kyasanur Forest Disease/virology , Tick-Borne Diseases/epidemiology , Tick-Borne Diseases/virology , Animal Diseases/epidemiology , Animal Diseases/virology , Animals , Asia , Chick Embryo , Disease Models, Animal , Disease Outbreaks , Encephalitis Viruses, Tick-Borne/classification , Encephalitis Viruses, Tick-Borne/genetics , Endemic Diseases , Haplorhini , Humans , Ixodidae , Kyasanur Forest Disease/diagnosis , Kyasanur Forest Disease/transmission , Molecular Epidemiology , Sequence Homology , Tick-Borne Diseases/diagnosis , Tick-Borne Diseases/transmission , Vaccines, Inactivated , Viral Nonstructural Proteins/genetics , Viral Structural Proteins/genetics
3.
Front Immunol ; 9: 3000, 2018.
Article in English | MEDLINE | ID: mdl-30619353

ABSTRACT

Human papillomavirus (HPV) induced cervical cancer is the second most common cause of death, after breast cancer, in females. Three prophylactic vaccines by Merck Sharp & Dohme (MSD) and GlaxoSmithKline (GSK) have been confirmed to prevent high-risk HPV strains but these vaccines have been shown to be effective only in girls who have not been exposed to HPV previously. The constitutively expressed HPV oncoproteins E6 and E7 are usually used as target antigens for HPV therapeutic vaccines. These early (E) proteins are involved, for example, in maintaining the malignant phenotype of the cells. In this study, we predicted antigenic peptides of HPV types 16 and 18, encoded by E6 and E7 genes, using an immunoinformatics approach. To further evaluate the immunogenic potential of the predicted peptides, we studied their ability to bind to class I major histocompatibility complex (MHC-I) molecules in a computational docking study that was supported by molecular dynamics (MD) simulations and estimation of the free energies of binding of the peptides at the MHC-I binding cleft. Some of the predicted peptides exhibited comparable binding free energies and/or pattern of binding to experimentally verified MHC-I-binding epitopes that we used as references in MD simulations. Such peptides with good predicted affinity may serve as candidate epitopes for the development of therapeutic HPV peptide vaccines.


Subject(s)
Antigens, Viral/immunology , Histocompatibility Antigens Class I/metabolism , Papillomavirus Infections/prevention & control , Papillomavirus Vaccines/immunology , Uterine Cervical Neoplasms/prevention & control , Antigens, Viral/chemistry , Antigens, Viral/metabolism , Computational Biology/methods , DNA-Binding Proteins/chemistry , DNA-Binding Proteins/immunology , DNA-Binding Proteins/metabolism , Epitope Mapping/methods , Epitopes, B-Lymphocyte/chemistry , Epitopes, B-Lymphocyte/immunology , Epitopes, B-Lymphocyte/metabolism , Epitopes, T-Lymphocyte/chemistry , Epitopes, T-Lymphocyte/immunology , Epitopes, T-Lymphocyte/metabolism , Female , Histocompatibility Antigens Class I/chemistry , Histocompatibility Antigens Class I/immunology , Human papillomavirus 16/immunology , Human papillomavirus 18/immunology , Humans , Molecular Dynamics Simulation , Oncogene Proteins, Viral/chemistry , Oncogene Proteins, Viral/immunology , Oncogene Proteins, Viral/metabolism , Papillomavirus E7 Proteins/chemistry , Papillomavirus E7 Proteins/immunology , Papillomavirus E7 Proteins/metabolism , Papillomavirus Infections/immunology , Papillomavirus Infections/virology , Papillomavirus Vaccines/chemistry , Repressor Proteins/chemistry , Repressor Proteins/immunology , Repressor Proteins/metabolism , Structural Homology, Protein , Uterine Cervical Neoplasms/immunology , Uterine Cervical Neoplasms/virology , Vaccines, Subunit/chemistry , Vaccines, Subunit/immunology
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