Evolutionary conservation of influenza A PB2 sequences reveals potential target sites for small molecule inhibitors

Rapid and Sensitive Detection of RNA Viruses through Imaging of Marker Molecules Derived from Designed Circular DNA Probes

In the absence of treatment, detection of pathogenic RNA viruses and quarantine of infected individuals are critical for controlling the infection spread. Conventional antibody-based methods often lack the required accuracy and sensitivity, due to the need for a substantial amount of viral antigens. Similarly, traditional reverse transcription real-time polymerase chain reaction methods face challenges in providing timely results due to their multiple thermal nucleic acid amplification steps. To overcome these limitations, a new method based on imaging of virus-specific DNA markers is developed. This approach employs specially designed single-stranded circular DNA probes that capture virus-derived RNA fragments generated by RNase digestion of the viral genome. These fragments serve as primers for a subsequent single-step DNA filling reaction, producing double-stranded virus-specific marker molecules. These individual markers are recognized through fluorescence imaging following linearization by enzyme cleavage and subsequent fluorescence staining. This method can detect viruses at a genome equivalent level of 14 within 40 min. In addition, the molecule-level imaging-based method effectively detects human immunodeficiency virus-1 in clinical samples. This diagnostic approach does not require sophisticated thermal controls nor extensive nucleic acid amplifications, allowing for accurate, sensitive, and rapid detection without the need for large equipment, offering substantial potential for point-of-care applications.

Harnessing viral internal proteins to combat flu and beyond

This mini-review examines the strategy of combining viral protein sequence conservation with drug-binding potential to identify novel antiviral targets, focusing on internal proteins of influenza A and other RNA viruses. The importance of combating viral genetic variability and reducing the likelihood of resistance development is emphasised in the context of sequence redundancy in viral datasets. It covers recent structural and functional updates, as well as drug targeting efforts for three internal influenza A viral proteins: Basic Polymerase 2, Nuclear Export Protein, and Nucleoprotein. The review discusses new insights into protein interactions, potential inhibitors, and recent drug discovery efforts. Similar approaches beyond influenza including Hepatitis E, SARS-CoV-2, Dengue, and the HIV-1 virus are also covered briefly.

Protection of animals against devastating RNA viruses using CRISPR-Cas13s

The intrinsic nature of CRISPR-Cas in conferring immunity to bacteria and archaea has been repurposed to combat pathogenic agents in mammalian and plant cells. In this regard, CRISPR-Cas13 systems have proved their remarkable potential for single-strand RNA viruses targeting. Here, different types of Cas13 orthologs were applied to knockdown foot-and-mouth disease virus (FMDV), a highly contagious disease of a wide variety of species with genetically diverse strains and is widely geographically distributed. Using programmable CRISPR RNAs capable of targeting conserved regions of the viral genome, all Cas13s from CRISPR system type VI (subtype A/B/D) could comprehensively target and repress different serotypes of FMDV virus. This approach has the potential to destroy all strains of a virus as targets the ultra-conserved regions of genome. We experimentally compared the silencing efficiency of CRISPR and RNAi by designing the most effective short hairpin RNAs according to our developed scoring system and observed comparable results. This study showed successful usage of various Cas13 enzymes for suppression of FMDV, which provides a flexible strategy to battle with other animal infectious RNA viruses, an underdeveloped field in the biotechnology scope.

Detection and Characterization of an H9N2 Influenza A Virus in the Egyptian Rousette Bat in Limpopo, South Africa

In recent years, bats have been shown to host various novel bat-specific influenza viruses, including H17N10 and H18N11 in the Americas and the H9N2 subtype from Africa. Rousettus aegyptiacus (Egyptian Rousette bat) is recognized as a host species for diverse viral agents. This study focused on the molecular surveillance of a maternal colony in Limpopo, South Africa, between 2017-2018. A pan-influenza hemi-nested RT-PCR assay targeting the PB1 gene was established, and influenza A virus RNA was identified from one fecal sample out of 860 samples. Genome segments were recovered using segment-specific amplification combined with standard Sanger sequencing and Illumina unbiased sequencing. The identified influenza A virus was closely related to the H9N2 bat-influenza virus, confirming the circulation of this subtype among Egyptian fruit bat populations in Southern Africa. This bat H9N2 subtype contained amino acid residues associated with transmission and virulence in either mammalian or avian hosts, though it will likely require additional adaptations before spillover.

Influenza A virus strain PR/8/34, but neither HAM/2009 nor WSN/33, is transiently inhibited by the PB2-targeting drug paliperidone

Influenza A virus (FLUAV) is a significant human pathogen. In silico structural analysis (PMID 28628827) has suggested that the FDA-approved drug paliperidone interferes with the binding of the FLUAV polymerase subunit PB2 to the nucleoprotein NP. We found that paliperidone inhibits FLUAV A/PR/8/34 early after infection of canine MDCK II, human A549, and human primary bronchial cells, but not at late time points. No effect was detectable against the strains A/Hamburg/05/2009 and A/WSN/33. Moreover, paliperidone indeed disturbed the interaction between the PB2 and the NP of A/PR/8/34 and reduced early viral RNA and protein synthesis by approximately 50%. Thus, paliperidone has measurable but transient and virus-strain-restricted effects on FLUAV.

Strategy, Progress, and Challenges of Drug Repurposing for Efficient Antiviral Discovery

Emerging or re-emerging viruses are still major threats to public health. Prophylactic vaccines represent the most effective way to prevent virus infection; however, antivirals are more promising for those viruses against which vaccines are not effective enough or contemporarily unavailable. Because of the slow pace of novel antiviral discovery, the high disuse rates, and the substantial cost, repurposing of the well-characterized therapeutics, either approved or under investigation, is becoming an attractive strategy to identify the new directions to treat virus infections. In this review, we described recent progress in identifying broad-spectrum antivirals through drug repurposing. We defined the two major categories of the repurposed antivirals, direct-acting repurposed antivirals (DARA) and host-targeting repurposed antivirals (HTRA). Under each category, we summarized repurposed antivirals with potential broad-spectrum activity against a variety of viruses and discussed the possible mechanisms of action. Finally, we proposed the potential investigative directions of drug repurposing.

Treatment of influenza and SARS-CoV-2 infections via mRNA-encoded Cas13a in rodents

Cas13a has been used to target RNA viruses in cell culture, but efficacy has not been demonstrated in animal models. In this study, we used messenger RNA (mRNA)-encoded Cas13a for mitigating influenza virus A and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in mice and hamsters, respectively. We designed CRISPR RNAs (crRNAs) specific for PB1 and highly conserved regions of PB2 of influenza virus, and against the replicase and nucleocapsid genes of SARS-CoV-2, and selected the crRNAs that reduced viral RNA levels most efficiently in cell culture. We delivered polymer-formulated Cas13a mRNA and the validated guides to the respiratory tract using a nebulizer. In mice, Cas13a degraded influenza RNA in lung tissue efficiently when delivered after infection, whereas in hamsters, Cas13a delivery reduced SARS-CoV-2 replication and reduced symptoms. Our findings suggest that Cas13a-mediated targeting of pathogenic viruses can mitigate respiratory infections.

Conventional PCR assisted single-component assembly of spherical nucleic acids for simple colorimetric detection of SARS-CoV-2

Continuous identification of suspected infectious cases is crucial to control the recent pandemic caused by the novel human coronavirus SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2). Real-time polymerase chain reaction (real-time PCR) technology cannot be implemented easily and in large scale in some communities due to lack of resources and infrastructures. Here, we report a simple colorimetric strategy derived from linker-based single-component assembly of gold nanoparticle-core spherical nucleic acids (AuNP-core SNAs) for visual detection of PCR products of SARS-CoV-2 ribonucleic acid (RNA) template. A palindromic linker is designed based on SARS-CoV-2 specific E gene to program the identical colloidal SNAs into large assemblies along with a distinct red-to-purple color change. The linker acts as a probe of SARS-CoV-2 RNA in conventional PCR reaction. In the presence of the correct template the palindromic linker, which is complementary to a short region within the target amplicon, is cleaved by 5'-exonuclease activity of deoxyribonucleic acid (DNA) polymerase. Cleavage of the palindromic linker during the amplification process inhibits the single-component assembly formation of SNAs. So, positive and negative viral samples produce simply red and purple colors in the post PCR colorimetric test, respectively. Evaluation of the samples obtained from cases with laboratory-confirmed SARS-CoV-2 infection revealed that our assay can rival with real-time PCR method in sensitivity.

Integrating molecular modelling methods to advance influenza A virus drug discovery

Since the discovery of the anti-influenza drugs oseltamivir and zanamivir using computer-aided drug design methods, there have been significant applications of molecular modelling methodologies applied to influenza A virus drug discovery, such as molecular dynamics (MD) simulation, molecular docking, and virtual screening (VS). In this review, we provide a brief general introduction to molecular modelling in the context of drug discovery and then focus on the advances and impact of integrating these methods with specific reference to potential influenza A antiviral drug targets.

Unlocking COVID therapeutic targets: A structure-based rationale against SARS-CoV-2, SARS-CoV and MERS-CoV Spike

There are no approved target therapeutics against SARS-CoV-2 or other beta-CoVs. The beta-CoV Spike protein is a promising target considering the critical role in viral infection and pathogenesis and its surface exposed features. We performed a structure-based strategy targeting highly conserved druggable regions resulting from a comprehensive large-scale sequence analysis and structural characterization of Spike domains across SARSr- and MERSr-CoVs. We have disclosed 28 main consensus druggable pockets within the Spike. The RBD and SD1 (S1 subunit); and the CR, HR1 and CH (S2 subunit) represent the most promising conserved druggable regions. Additionally, we have identified 181 new potential hot spot residues for the hSARSr-CoVs and 72 new hot spot residues for the SARSr- and MERSr-CoVs, which have not been described before in the literature. These sites/residues exhibit advantageous structural features for targeted molecular and pharmacological modulation. This study establishes the Spike as a promising anti-CoV target using an approach with a potential higher resilience to resistance development and directed to a broad spectrum of Beta-CoVs, including the new SARS-CoV-2 responsible for COVID-19. This research also provides a structure-based rationale for the design and discovery of chemical inhibitors, antibodies or other therapeutic modalities successfully targeting the Beta-CoV Spike protein.

Vaccine development and therapeutic design for 2019-nCoV/SARS-CoV-2: Challenges and chances

The ongoing outbreak of the recently emerged 2019 novel coronavirus (nCoV), which has seriously threatened global health security, is caused by severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) with high morbidity and mortality. Despite the burden of the disease worldwide, still, no licensed vaccine or any specific drug against 2019‐nCoV is available. Data from several countries show that few repurposed drugs using existing antiviral drugs have not (so far) been satisfactory and more recently were proven to be even highly toxic. These findings underline an urgent need for preventative and therapeutic interventions designed to target specific aspects of 2019‐nCoV. Again the major factor in this urgency is that the process of data acquisition by physical experiment is time‐consuming and expensive to obtain. Scientific simulations and more in‐depth data analysis permit to validate or refute drug repurposing opportunities predicted via target similarity profiling to speed up the development of a new more effective anti‐2019‐nCoV therapy especially where in vitro and/or in vivo data are not yet available. In addition, several research programs are being developed, aiming at the exploration of vaccines to prevent and treat the 2019‐nCoV. Computational‐based technology has given us the tools to explore and identify potentially effective drug and/or vaccine candidates which can effectively shorten the time and reduce the operating cost. The aim of the present review is to address the available information on molecular determinants in disease pathobiology modules and define the computational approaches employed in systematic drug repositioning and vaccine development settings for SARS‐CoV‐2.

Structural Genomics of SARS-CoV-2 Indicates Evolutionary Conserved Functional Regions of Viral Proteins

During its first two and a half months, the recently emerged 2019 novel coronavirus, SARS-CoV-2, has already infected over one-hundred thousand people worldwide and has taken more than four thousand lives. However, the swiftly spreading virus also caused an unprecedentedly rapid response from the research community facing the unknown health challenge of potentially enormous proportions. Unfortunately, the experimental research to understand the molecular mechanisms behind the viral infection and to design a vaccine or antivirals is costly and takes months to develop. To expedite the advancement of our knowledge, we leveraged data about the related coronaviruses that is readily available in public databases and integrated these data into a single computational pipeline. As a result, we provide comprehensive structural genomics and interactomics roadmaps of SARS-CoV-2 and use this information to infer the possible functional differences and similarities with the related SARS coronavirus. All data are made publicly available to the research community.

Prediction of ligands to universally conserved binding sites of the influenza a virus nuclear export protein

The nuclear export protein (NEP) of the influenza A virus exports viral ribonucleoproteins to the host cell cytoplasm following nuclear transcription. In this work conservation analysis of 3000 protein sequences and molecular modelling of full-length NEP identified ligand binding sites overlapping with high sequence conservation. Two binding hot spots were identified close to the first nuclear export signal and several hot spots overlapped with highly conserved amino acids such as Arg42, Asp43, Lys39, Ile80, Gln101 and Val109. Virtual screening with ~43,000 compounds against a binding site showed affinities of up to -8.95 kcal/mol, while ~1700 approved drugs showed affinities of up to -8.31 kcal/mol. A drug-like compounds predicted was ZINC01564229 that could be used as probe to investigate NEP function or as a new drug lead. The approved drugs Nandrolone phenylpropionate and Estropipate were predicted to bind with high affinity and may be investigated for repurposing as anti-influenza drugs. IMPORTANCE: The influenza A virus causes respiratory illness in humans and farm animals annually across the world. Antigenic shifts and drifts in the surface proteins lead to genome diversity and unpredictable pandemics and epidemics. The high evolution rate of the RNA genome can also limit the effectiveness of antivirals and is the cause of emerging resistance. From a human health perspective, it is important that compounds identified as potential influenza replication inhibitors remain effective long-term. This work presents results which are based on computational predictions that reveal interactions between available compounds and regions of the influenza A nuclear export protein which display high conservation. Due to a low probability of highly conserved regions undergoing genomic changes, these compounds may serve as ideal leads for new antivirals.

To hit or not to hit: Large-scale sequence analysis and structure characterization of influenza A NS1 unlocks new antiviral target potential

Influenza NS1 protein is among the most promising novel druggable anti-influenza target, based on its structure; multiple interactions; and global function in influenza replication and pathogenesis. Notwithstanding, drug development guidance based on NS1 structural biology is lacking. Here, we design a promising strategy directed to highly conserved druggable regions as a result of an exhaustive large-scale sequence analysis and structure characterization of NS1 protein across human-infecting influenza A subtypes, over the past 100 years. We have identified 3 druggable pockets and 8 new potential hot spot residues in the NS1 protein, not described before, additionally to other 16 sites previously identified, which represent attractive targets for pharmacological modulation. This study provides a rationale towards structure-function studies of NS1 druggable sites, which have the potential to accelerate the NS1 target validation. This research also contributes to a deeper comprehension and insight into the evolutionary dynamics of influenza A NS1 protein.