CHRNA7 is a neurodevelopmental protein involved in differentiation and neurogenesis, which is also named as nicotinic acetylcholine receptors, cholinergic receptor, nicotinic, alpha 7 (neuronal). The protein encoded by this gene forms a homo-oligomeric channel. It is a major component of brain nicotinic receptors displays that are blocked by and sensitive to alpha-bungarotoxin. Studies reports involvement of CHRNA7 protein in different neurological diseases. Non-availability of 3-dimensional (3D) structure leads the study toward structure 3D prediction along with its interaction analysis. The current paper is focused on the structure prediction through homology modeling of CHRNA7 along with binding site prediction using Schrödinger software suite. In continuation of the study, protein-protein interaction analysis is carried out by using string database. Tertiary structure along with binding sites was obtained, and visualized CHRAN7 protein have interaction with CHRNA protein family along with JAK2, AKT1, PICK1 protein that are involved in neurological disease. Structure formation analysis is an important aspect of proteomics studies. Hence, this predicted structure can be used for further advance studies and drug designing. Protein interaction analysis shows that CHRNA7 protein also interact with AKT1 protein which regulate neuronal differentiation and development, that signifies the role of CHRNA7 protein in neurological diseases.
A set of 31 barley genotypes was evaluated at four locations, viz. Kanpur, Pantnagar, Varanasi and Faizabad for two years (2016 and 2017) against spot blotch [Biploris sorokiniana (Sacc.) Shoem.] resistance. The combined analysis of variance revealed significant influence of year (5.64%) and location (18.08%) effects with significant genotypic effects (29.05%). Location-wise, the highest susceptibility was observed at Varanasi (51.61%) followed by Kanpur (19.35%) whereas, the moderately susceptible reactions were obtained at Faizabad (67.74 %) and Kanpur (61.29%) locations. In heritability adjusted GGE biplot analysis, the ratio of (G+G × E)/(E+G+G × E) was estimated as 71.77 % and substantiated usefulness of generated biplots to elucidate resistant and stable genotypes with location discrimination. In AMMI analysis, the initial two principal components (PCs) cumulatively explained 90.7 % of total variation with individual scores of 51.8 % and 38.9 %, respectively. The triangular image of the initial three PCs depicted scattered pattern for disease reaction and varied response for the locations. The weather parameters, viz. maximum temperature, minimum temperature and sunshine hr/day showed strong correlations 0.87**, 0.83** and 0.64* with spot blotch severity. The genotypes, DWRB 180, PL 891 and DWRB 190 were found promising and suggested to be used in future resistance breeding and spot blotch genetic studies. The locations Varanasi and Faizabad were found type 2 discriminative and representative environments for spot blotch.
The pandemic spread by the novel corona virus identied in Wuhan China in the year 2019 has massive hit on every aspect of individual life. Like many other countries India had imposed nationwide complete lockdown on March 2020. Since India was facing Lockdown for the rst time in its history and the stringent measures taken to implement lockdown had effects on all aspect of society including physical as well as mental health of general population. The present study was conducted using online method to know the impact on mental health during COVID 19 pandemic. The prevalence of the anxiety disorder as per GAD 7 was 33.4% among the study participants and 19-30 yrs of age group of participants and females are more affected. People have tried different method to cope with the stress during this period.
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