Prediction of coronavirus 3C-like protease cleavage sites using machine-learning algorithms

Deciphering the cleavage sites of 3C-like protease in Gammacoronaviruses and Deltacoronaviruses

Coronaviruses replicate by using the 3C-like protease (3CLpro) to cleave polyprotein precursors and host proteins. However, current tools for identifying 3CLpro cleavage sites are limited, particularly in Gammacoronaviruses (GammaCoV) and Deltacoronaviruses (DeltaCoV). This study aims to fill this gap by identifying 3CLpro cleavage sites in these viruses to provide deeper insights into their pathogenic mechanisms. By integrating sequence alignments and structural model comparisons, we developed a position-specific scoring matrix (PSSM) based on self-cleavage motifs, revealing specific preferences for each residue. Utilizing AlphaFold2's predicted alignment error (PAE) and predicted local distance difference test (pLDDT), we found that most cleavage sequences are located in regions with high PAE and low pLDDT values. KEGG pathway analysis showed that potential host protein cleavage targets are mainly concentrated in pathways related to nucleo-cytoplasmic transport and endocytosis. Through in vitro cleavage experiments and mutational analysis, we identified and validated three high-scoring proteins-nucleoporin 58 (NUP58), cell division cycle 73 (CDC73), and signal transducing adaptor molecule 2 (STAM2). These findings suggest that 3CLpro not only plays a vital role in viral replication but may also influence host cell functions by cleaving host proteins. This study provides an effective tool for identifying 3CLpro cleavage sites, revealing the pathogenic mechanisms of coronaviruses, and offering new insights for developing potential therapeutic targets.

TDFFM: Transformer and Deep Forest Fusion Model for Predicting Coronavirus 3C-Like Protease Cleavage Sites

COVID-19, caused by the highly contagious SARS-CoV-2 virus, is distinguished by its positive-sense, single-stranded RNA genome. A thorough understanding of SARS-CoV-2 pathogenesis is crucial for halting its proliferation. Notably, the 3C-like protease of the coronavirus (denoted as 3CLpro) is instrumental in the viral replication process. Precise delineation of 3CLpro cleavage sites is imperative for elucidating the transmission dynamics of SARS-CoV-2. While machine learning tools have been deployed to identify potential 3CLpro cleavage sites, these existing methods often fall short in terms of accuracy. To improve the performances of these predictions, we propose a novel analytical framework, the Transformer and Deep Forest Fusion Model (TDFFM). Within TDFFM, we utilize the AAindex and the BLOSUM62 matrix to encode protein sequences. These encoded features are subsequently input into two distinct components: a Deep Forest, which is an effective decision tree ensemble methodology, and a Transformer equipped with a Multi-Level Attention Model (TMLAM). The integration of the attention mechanism allows our model to more accurately identify positive samples, thus enhancing the overall predictive performance. Evaluation on a test set demonstrates that our TDFFM achieves an accuracy of 0.955, an AUC of 0.980, and an F1-score of 0.367, substantiating the model's superior prediction capabilities.

The role of IBV PL1pro in virus replication and suppression of host innate immune responses

BACKGROUND

Coronavirus papain-like proteases (PLpros) play a crucial role in virus replication and the evasion of the host immune response. Infectious bronchitis virus (IBV) encodes a proteolytically defective remnant of PL1pro and an active PL2pro. However, the function of PL1pro in IBV remains largely unknown. This study aims to explore the effect of PL1pro on virus replication and underlying mechanisms.

RESULTS

The recombinant viruses rIBV-ΔPL1pro and rIBV-ΔPL1pro-N were obtained using reverse genetic techniques through the deletion of the IBV PL1pro domain and the N-terminal conserved sequence of PL1pro (PL1pro-N). We observed significantly lower replication of rIBV-ΔPL1pro and rIBV-ΔPL1pro-N than wild-type IBV. Further investigation revealed that the lack of PL1pro-N in IBV decreased virus resistance to interferon (IFN) while also inducing host immune response by enhancing the production of IFN-β and activating the downstream STAT1 signaling pathway of IFNs. In addition, the overexpression of PL1pro-N significantly suppressed type I IFN response by down-regulating the expressions of genes in the IFN pathway.

CONCLUSIONS

Our data demonstrated that IBV PL1pro plays a crucial role in IBV replication and the suppression of host innate immune responses, suggesting that IBV PL1pro could serve as a promising molecular target for antiviral therapy.

A low-background, fluorescent assay to evaluate inhibitors of diverse viral proteases

Multiple coronaviruses (CoVs) can cause respiratory diseases in humans. While prophylactic vaccines designed to prevent infection are available for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), incomplete vaccine efficacy, vaccine hesitancy, and the threat of other pathogenic CoVs for which vaccines do not exist have highlighted the need for effective antiviral therapies. While antiviral compounds targeting the viral polymerase and protease are already in clinical use, their sensitivity to potential resistance mutations as well as their breadth against the full range of human and preemergent CoVs remain incompletely defined. To begin to fill that gap in knowledge, we report here the development of an improved, noninfectious, cell-based fluorescent assay with high sensitivity and low background that reports on the activity of viral proteases, which are key drug targets. We demonstrate that the assay is compatible with not only the SARS-CoV-2 Mpro protein but also orthologues from a range of human and nonhuman CoVs as well as clinically reported SARS-CoV-2 drug-resistant Mpro variants. We then use this assay to define the breadth of activity of two clinically used protease inhibitors, nirmatrelvir and ensitrelvir. Continued use of this assay will help define the strengths and limitations of current therapies and may also facilitate the development of next-generation protease inhibitors that are broadly active against both currently circulating and preemergent CoVs. IMPORTANCE Coronaviruses (CoVs) are important human pathogens with the ability to cause global pandemics. Working in concert with vaccines, antivirals specifically limit viral disease in people who are actively infected. Antiviral compounds that target CoV proteases are already in clinical use; their efficacy against variant proteases and preemergent zoonotic CoVs, however, remains incompletely defined. Here, we report an improved, noninfectious, and highly sensitive fluorescent method of defining the sensitivity of CoV proteases to small molecule inhibitors. We use this approach to assay the activity of current antiviral therapies against clinically reported SARS-CoV-2 protease mutants and a panel of highly diverse CoV proteases. Additionally, we show this system is adaptable to other structurally nonrelated viral proteases. In the future, this assay can be used to not only better define the strengths and limitations of current therapies but also help develop new, broadly acting inhibitors that more broadly target viral families.

P1 Glutamine isosteres in the design of inhibitors of 3C/3CL protease of human viruses of the Pisoniviricetes class

Viral infections are one of the leading causes of acute morbidity in humans and much endeavour has been made by the synthetic community for the development of drugs to treat associated diseases. Peptide-based enzyme inhibitors, usually short sequences of three or four residues, are one of the classes of compounds currently under development for enhancement of their activity and pharmaceutical properties. This review reports the advances made in the design of inhibitors targeting the family of highly conserved viral proteases 3C/3CLpro, which play a key role in viral replication and present minimal homology with mammalian proteases. Particular focus is put on the reported development of P1 glutamine isosteres to generate potent inhibitors mimicking the natural substrate sequence at the site of recognition.'

Identification of SARS-CoV-2 Main Protease (Mpro) Cleavage Sites Using Two-Dimensional Electrophoresis and In Silico Cleavage Site Prediction

The main protease (Mpro) of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) plays a crucial role in its life cycle. The Mpro-mediated limited proteolysis of the viral polyproteins is necessary for the replication of the virus, and cleavage of the host proteins of the infected cells may also contribute to viral pathogenesis, such as evading the immune responses or triggering cell toxicity. Therefore, the identification of host substrates of the viral protease is of special interest. To identify cleavage sites in cellular substrates of SARS-CoV-2 Mpro, we determined changes in the HEK293T cellular proteome upon expression of the Mpro using two-dimensional gel electrophoresis. The candidate cellular substrates of Mpro were identified by mass spectrometry, and then potential cleavage sites were predicted in silico using NetCorona 1.0 and 3CLP web servers. The existence of the predicted cleavage sites was investigated by in vitro cleavage reactions using recombinant protein substrates containing the candidate target sequences, followed by the determination of cleavage positions using mass spectrometry. Unknown and previously described SARS-CoV-2 Mpro cleavage sites and cellular substrates were also identified. Identification of target sequences is important to understand the specificity of the enzyme, as well as aiding the improvement and development of computational methods for cleavage site prediction.

Coronavirus and the Cytoskeleton of Virus-Infected Cells

The cytoskeleton, which includes actin filaments, microtubules, and intermediate filaments, is one of the most important networks in the cell and undertakes many fundamental life activities. Among them, actin filaments are mainly responsible for maintaining cell shape and mediating cell movement, microtubules are in charge of coordinating all cargo transport within the cell, and intermediate filaments are mainly thought to guard against external mechanical pressure. In addition to this, cytoskeleton networks are also found to play an essential role in multiple viral infections. Due to the COVID-19 epidemic, including SARS-CoV-2, SARS-CoV and MERS-CoV, so many variants have caused wide public concern, that any virus infection can potentially bring great harm to human beings and society. Therefore, it is of great importance to study coronavirus infection and develop antiviral drugs and vaccines. In this chapter, we summarize in detail how the cytoskeleton responds and participates in coronavirus infection by analyzing the possibility of the cytoskeleton and its related proteins as antiviral targets, thereby providing ideas for finding more effective treatments.