Development of Azaindole-Based Frameworks as Potential Antiviral Agents and Their Future Perspectives.
null UrvashiJ B Senthil KumarParthasarathi DasVibha TandonPublished in: Journal of medicinal chemistry (2022)
The azaindole (AI) framework continues to play a significant role in the design of new antiviral agents. Modulating the position and isosteric replacement of the nitrogen atom of AI analogs notably influences the intrinsic physicochemical properties of lead compounds. The intra- and intermolecular interactions of AI derivatives with host receptors or viral proteins can also be fine tuned by carefully placing the nitrogen atom in the heterocyclic core. This wide-ranging perspective article focuses on AIs that have considerable utility in drug discovery programs against RNA viruses. The inhibition of influenza A, human immunodeficiency, respiratory syncytial, neurotropic alpha, dengue, ebola, and hepatitis C viruses by AI analogs is extensively reviewed to assess their plausible future potential in antiviral drug discovery. The binding interaction of AIs with the target protein is examined to derive a structural basis for designing new antiviral agents.
Keyphrases
- drug discovery
- artificial intelligence
- structural basis
- molecular dynamics
- endothelial cells
- public health
- sars cov
- zika virus
- air pollution
- multidrug resistant
- signaling pathway
- current status
- binding protein
- aedes aegypti
- dengue virus
- climate change
- induced pluripotent stem cells
- molecular dynamics simulations
- protein protein