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The COVID-19 pandemic infection has claimed many lives and added to the social, economic, and psychological distress. The contagious disease has quickly spread to almost 218 countries and territories following the regional outbreak in China. As the number of infected populations increases exponentially, there is a pressing demand for anti-COVID drugs and vaccines. Virtual screening provides possible leads while extensively cutting down the time and resources required for ab-initio drug design. We report structure-based virtual screening of a hundred plus library of quinoline drugs with established antiviral, antimalarial, antibiotic or kinase inhibitor activity. In this study, targets having a role in viral entry, viral assembly, and viral replication have been selected. The targets include: 1) RBD of receptor-binding domain spike protein S 2) M pro Chymotrypsin main protease 3) P pro Papain protease 4) RNA binding domain of Nucleocapsid Protein, and 5) RNA Dependent RNA polymerase from SARS-COV-2. An in-depth analysis of the interactions and G-score compared to the controls like hydroxyquinoline and remdesivir has been presented. The salient results are (1) higher scoring of antivirals as potential drugs (2) potential of afatinib by scoring as better inhibitor, and (3) biological explanation of the potency of afatinib. Further MD simulations and MM-PBSA calculations showed that afatinib works best to interfere with the the activity of RNA dependent RNA polymerase of SARS-COV-2, thereby inhibiting replication process of single stranded RNA virus. Communicated by Ramaswamy H. Sarma

Chikungunya virus (CHIKV) non-structural protein 2 (nsP2) is considered to be the master regulator of viral RNA replication and host responses generated during viral infection. This protein has two main functional domains: an N-terminal domain which exhibits NTPase, RNA triphosphatase and helicase activities and a C-terminal protease domain. Understanding how CHIKV nsP2 interacts with its host proteins is essential for elucidating all the required processes for viral replication and pathogenesis along with the identification of potential targets for antiviral therapy. In current study yeast two-hybrid (Y2H) screening of a human fetal brain cDNA library was performed using nsP2 protein as bait. The analysis identified seven host proteins (CCDC130, CPNE6, POLR2C, MAPK9, EIF4A2, EEF1A1 and EIF3I) as putative interactors of CHIKV nsP2 which were selected for further analysis based on their roles in host cellular machinery. The gene ontology analysis indicates that these proteins are mainly involved in apoptosis, transcription and translational mechanism of host cell. Domain mapping of nsP2 revealed that these associations are not random connections but instead they have functional significance. Further studies to identify the amino acid residues and their chemical interactions that may help in opening new possibilities for preventing these interactions, thus reducing chances of chikungunya infection were performed. This study expands the understanding of CHIKV-host interactions and is important for rational approaches of discovering new antiviral agents.

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