Combinatorial screening of a panel of FDA-approved drugs identifies several candidates with anti-Ebola activities.

Ebola virus (EBOV), pathogen of Ebola hemorrhagic fever (EHF), is an enveloped filamental RNA virus. Recently, the EHF crisis occurred in the Democratic Republic of the Congo again highlights the urgency for its clinical treatments. However, no Food and Drug Administration (FDA)-approved therapeutics are currently available. Drug repurposing screening is a time- and cost-effective approach for identifying anti-EBOV therapeutics. Here, by combinatorial screening using pseudovirion and minigenome replicon systems we have identified several FDA-approved drugs with significant anti-EBOV activities. These potential candidates include azithromycin, clomiphene, chloroquine, digitoxin, epigallocatechin-gallate, fluvastatin, tetrandrine and tamoxifen. Mechanistic studies revealed that fluvastatin inhibited EBOV pseudovirion entry by blocking the pathway of mevalonate biosynthesis, while the inhibitory effect of azithromycin on EBOV maybe due to its intrinsic cationic amphiphilic structure altering the homeostasis of later endosomal vesicle similar as tamoxifen. Moreover, based on structure and pathway analyses, the anti-EBOV activity has been extended to other family members of statins, such as simvastatin, and multiple other cardiac glycoside drugs, some of which exhibited even stronger activities. More importantly, in searching for drug interaction, we found various synergy between several anti-EBOV drug combinations, showing substantial and powerful synergistic against EBOV infection. In conclusion, our work illustrates a successful and productive approach to identify new mechanisms and targets for treating EBOV infection by combinatorial screening of FDA-approved drugs.

Screening for Novel Small-Molecule Inhibitors Targeting the Assembly of Influenza Virus Polymerase Complex by a Bimolecular Luminescence Complementation-Based Reporter System.

Influenza virus RNA-dependent RNA polymerase consists of three viral protein subunits: PA, PB1, and PB2. Protein-protein interactions (PPIs) of these subunits play pivotal roles in assembling the functional polymerase complex, which is essential for the replication and transcription of influenza virus RNA. Here we developed a highly specific and robust bimolecular luminescence complementation (BiLC) reporter system to facilitate the investigation of influenza virus polymerase complex formation. Furthermore, by combining computational modeling and the BiLC reporter assay, we identified several novel small-molecule compounds that selectively inhibited PB1-PB2 interaction. Function of one such lead compound was confirmed by its activity in suppressing influenza virus replication. In addition, our studies also revealed that PA plays a critical role in enhancing interactions between PB1 and PB2, which could be important in targeting sites for anti-influenza intervention. Collectively, these findings not only aid the development of novel inhibitors targeting the formation of influenza virus polymerase complex but also present a new tool to investigate the exquisite mechanism of PPIs. IMPORTANCE Formation of the functional influenza virus polymerase involves complex protein-protein interactions (PPIs) of PA, PB1, and PB2 subunits. In this work, we developed a novel BiLC assay system which is sensitive and specific to quantify both strong and weak PPIs between influenza virus polymerase subunits. More importantly, by combining in silico modeling and our BiLC assay, we identified a small molecule that can suppress influenza virus replication by disrupting the polymerase assembly. Thus, we developed an innovative method to investigate PPIs of multisubunit complexes effectively and to identify new molecules inhibiting influenza virus polymerase assembly.