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Thambiraja, T. S.

Publications and source records attributed to Thambiraja, T. S..

2 recordsLinked to original sources

Omicron and Delta Variant of SARS-CoV-2: A Comparative Computational Study of Spike protein

Emerging SARS-CoV-2 variants, especially those of concern, may have an impact on the viruss transmissibility and pathogenicity, as well as diagnostic equipment performance and vaccine effectiveness. Even though the SARS-CoV-2 Delta variant (B.1.617.2) emerged during Indias second wave of infections, Delta variants have grown dominant internationally and are still evolving. On November 26, 2021, WHO identified the variant B.1.1.529 as a variant of concern, naming it Omicron, based on evidence that Omicron contains numerous mutations that may influence its behaviour. However, the mode of transmission and severity of the Omicron variant remains unknown. We used computational studies to examine the Delta and Omicron variants in this work and found that the Omicron variant had a higher affinity for human ACE2 than the Delta variant due to a significant number of mutations in the SARS-CoV-2 receptor binding domain, indicating a higher potential for transmission. Based on docking studies, the Q493R, N501Y, S371L, S373P, S375F, Q498R, and T478K mutations contribute significantly to high binding affinity with human ACE2. In comparison to the Delta variant, both the entire spike protein and the RBD in Omicron include a high proportion of hydrophobic amino acids such as leucine and phenylalanine. These amino acids are located within the proteins core and are required for structural stability. Omicron has a higher percentage of alpha-helix structure than the Delta variant in both whole spike protein and RBD, indicating that it has a more stable structure. We observed a disorder-order transition in the Omicron variant between spike protein RBD regions 468-473, and it may be significant in the influence of disordered residues/regions on spike protein stability and binding to ACE2. A future study might investigate the epidemiological and biological consequences of the Omicron variant.

bioinformatics↗

Identification of COVID-19 and COPD common key genes and pathways using a protein-protein interaction approach

Coronavirus disease (COVID-19) is an extremely contagious and cognitive disease that could cause immense hypoxemia. The rise in critically ill patients in epidemic regions has put enormous pressure on hospitals. There is a need to define extreme COVID-19 clinical determinants to optimize clinical diagnosis and the management system is strong. Chronic obstructive pulmonary disease (COPD) is linked to a rapidly increasing risk of death rates in population pneumonia. In this research, a network of protein-protein interaction (PPI) was developed using constructed datasets of COVID-19 and COPD genes to define the interrelationship between COVID-19 and COPD, how it affects each other, and the genes that are responsible for the process. The PPI network shows the top 10 common overlapping genes, which include IL10, TLR4, TNF, IL6, CXCL8, IL4, ICAM1, IFNG, TLR2, and IL18. These are the genes that COVID-19 and high-risk COPD patients are known to be expressed. These important genes shared by COVID-19 and COPD are involved in pathways such as malaria, African trypanosomiasis, inflammatory bowel disease, Chagas disease, influenza, and tuberculosis.

bioinformatics↗