Influenza A is an acute respiratory infectious disease caused by the influenza A virus, which seriously threatens global human health and causes substantial economic losses every year. With the emergence of new viral strains, anti-influenza drugs remain the most effective treatment for influenza A. Research on traditional, innovative small-molecule drugs faces many challenges, while computer-aided drug design (CADD) offers opportunities for the rapid and effective development of innovative drugs. This literature review describes the general process of CADD, the viral proteins that play an essential role in the life cycle of the influenza A virus and can be used as therapeutic targets for anti-influenza drugs, and examples of drug screening of viral target proteins by applying the CADD approach. Finally, the main limitations of current CADD strategies in anti-influenza drug discovery and the field’s future directions are discussed.

https://www.mdpi.com/1422-0067/23/9/4738/pdf?version=1650950084

Recent Advances in Application of Computer-Aided Drug Design in Anti-Influenza A Virus Drug Discovery

Discovery of mushroom-derived bioactive compound's draggability against nsP3 macro domain, nsP2 protease and envelope glycoprotein of Chikungunya virus: An in silico approach

Mohammad Abdus Shahid Hossain

Papers

Discovery of mushroom-derived bioactive compound's draggability against nsP3 macro domain, nsP2 protease and envelope glycoprotein of Chikungunya virus: An in silico approach