The coronavirus disease‐2019 (COVID‐19) pandemic caused by severe acute respiratory syndrome coronavirus‐2 (SARS‐CoV‐2) has already resulted in a huge setback to mankind in terms of millions of deaths, while the unavailability of an appropriate therapeutic strategy has made the scenario much more severe. Toll‐like receptors (TLRs) are crucial mediators and regulators of host immunity and the role of human cell surface TLRs in SARS‐CoV‐2 induced inflammatory pathogenesis has been demonstrated recently. However, the functional significance of the human intracellular TLRs including TLR3, 7, 8, and 9 is yet unclear. Hitherto, the involvement of these intracellular TLRs in inducing pro‐inflammatory responses in COVID‐19 has been reported but the identity of the interacting viral RNA molecule(s) and the corresponding TLRs have not been explored. This study hopes to rationalize the comparative binding of the major SARS‐CoV‐2 mRNAs to the intracellular TLRs, considering the solvent‐based force‐fields operational in the cytosolic aqueous microenvironment that predominantly drives these interactions. Our in silico study on the binding of all mRNAs with the intracellular TLRs depicts that the mRNA of NSP10, S2, and E proteins of SARS‐CoV‐2 are possible virus‐associated molecular patterns that bind to TLR3, TLR9, and TLR7, respectively, and trigger downstream cascade reactions. Intriguingly, binding of the viral mRNAs resulted in variable degrees of conformational changes in the ligand‐binding domain of the TLRs ratifying the activation of the downstream inflammatory signaling cascade. Taken together, the current study is the maiden report to describe the role of TLR3, 7, and 9 in COVID‐19 immunobiology and these could serve as useful targets for the conception of a therapeutic strategy against the pandemic.
Aim: COVID-19 is currently the biggest threat to mankind. Recently, ivermectin (a US FDA-approved antiparasitic drug) has been explored as an anti-SARS-CoV-2 agent. Herein, we have studied the possible mechanism of action of ivermectin using in silico approaches. Materials & methods: Interaction of ivermectin against the key proteins involved in SARS-CoV-2 pathogenesis were investigated through molecular docking and molecular dynamic simulation. Results: Ivermectin was found as a blocker of viral replicase, protease and human TMPRSS2, which could be the biophysical basis behind its antiviral efficiency. The antiviral action and ADMET profile of ivermectin was on par with the currently used anticorona drugs such as hydroxychloroquine and remdesivir. Conclusion: Our study enlightens the candidature of ivermectin as an effective drug for treating COVID-19.
Colorectal cancer is one of the most common cancers of humans and the second highest in cancer-related death. Genes used as prognostic biomarkers play an imperative role in cancer detection and may direct the development of appropriate therapeutic strategies. Collagen type XI alpha 1 (COL11A1) is a minor fibrillary collagen that has an essential role in the regulation of cell division, differentiation, proliferation, migration, growth, and apoptosis of intestinal and colon cells. The present study seeks to evaluate the significance of the COL11A1 gene in the progression of colorectal cancer in humans across the various parameters using advanced bioinformatics approaches. The application of various databases and servers like ONCOMINE, UALCAN, and GEPIA were accessed for analyzing the differential expression of the COLL11A1 gene and its relative influence over the survival of the transformed subjects. In addition, oncogenomics of COL11A1 gene, mutations associated with this gene and interacting partners of the gene in the context of oncogenesis were studied using COSMIC, cBioPortal, GeneMANIA, and NetworkAnalyst. Our experimental data indicate that the COL11A1 gene is overexpressed in the transformed tissues across the various clinicopathological parameters reduces the probability of survival in both overall and disease-specific survival cases. Mutational studies imply that it can induce perturbations in various signaling pathways viz. RTK-RAS-PI3K, Wnt, TGF-β, and TP53 pathways influencing cancer development. Also, a positive association and correlation amongst the THBS2, COL10A1, COL5A2, and COL1A2 genes were observed, which most likely to contribute to the upregulation of carcinogenesis. Conclusively, this comprehensive study indicates the COL11A1 gene to be a significant contributor in the etiology of colorectal cancer, henceforth this gene can be considered as a prognostic biomarker for the conception of diagnostic and therapeutic strategies against colorectal cancer in the near future.
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