MUS81 shares a high-degree homology with the catalytic XPF subunit of the XPF–ERCC1 endonuclease complex. It is catalytically active only when complexed with the regulatory subunits Mms4 or Eme1 in budding and fission yeasts, respectively, and EME1 or EME2 in humans. Although Mus81 complexes are implicated in the resolution of recombination intermediates in vivo, recombinant yeast Mus81-Mms4 and human MUS81-EME1 isolated from Escherichia coli fail to cleave intact Holliday junctions (HJs) in vitro. In this study, we show that human recombinant MUS81-EME2 isolated from E. coli cleaves HJs relatively efficiently, compared to MUS81-EME1. Furthermore, MUS81-EME2 catalyzed cleavage of nicked and gapped duplex deoxyribonucleic acids (DNAs), generating double-strand breaks. The presence of a 5′ phosphate terminus at nicks and gaps rendered DNA significantly less susceptible to the cleavage by MUS81-EME2 than its absence, raising the possibility that this activity could play a role in channeling damaged DNA duplexes that are not readily repaired into the recombinational repair pathways. Significant differences in substrate specificity observed with unmodified forms of MUS81-EME1 and MUS81-EME2 suggest that they play related but non-overlapping roles in DNA transactions.

No abstract

The yeast heterodimeric Mus81-Mms4 complex possesses a structure-specific endonuclease activity that is critical for the restart of stalled replication forks and removal of toxic recombination intermediates. Previously, we reported that Mus81-Mms4 and Rad27 (yeast FEN1, another structure-specific endonuclease) showed mutual stimulation of nuclease activity. In this study, we investigated the interactions between human FEN1 and MUS81-EME1 or MUS81-EME2, the human homologs of the yeast Mus81-Mms4 complex. We found that both MUS81-EME1 and MUS81-EME2 increased the activity of FEN1, but FEN1 did not stimulate the activity of MUS81-EME1 ⁄ EME2. The MUS81 subunit alone and its N-terminal half were able to bind to FEN1 and stimulate its endonuclease activity. A truncated FEN1 fragment lacking the C-terminal region that retained catalytic activity was not stimulated by MUS81. Michaelis-Menten kinetic analysis revealed that MUS81 increased the interaction between FEN1 and its substrates, resulting in increased turnover. We also showed that, after DNA damage in human cells, FEN1 co-localizes with MUS81. These findings indicate that the human proteins and yeast homologs act similarly, except that the human FEN1 does not stimulate the nuclease activities of MUS81-EME1 or MUS81-EME2. Thus, the mammalian MUS81 complexes and FEN1 collaborate to remove the various flap structures that arise during many DNA transactions, including Okazaki fragment processing. Structured digital abstractl FEN1 physically interacts with MUS81 and EME2 by anti tag coimmunoprecipitation (View interaction) l FEN1 physically interacts with MUS81 and EME1 by anti tag coimmunoprecipitation (View interaction) l MUS81 physically interacts with FEN1 by pull down (View interaction) l FEN1 and MUS81 colocalize by fluorescence microscopy (View interaction) l FEN1 physically interacts with MUS81 by anti tag coimmunoprecipitation (View interaction)

African swine fever virus (ASFV) causes a highly contagious and severe hemorrhagic viral disease with high mortality in domestic pigs of all ages. Although the virus is harmless to humans, the ongoing ASFV epidemic could have severe economic consequences for global food security. Recent studies have found a few antiviral agents that can inhibit ASFV infections. However, currently, there are no vaccines or antiviral drugs. Hence, there is an urgent need to identify new drugs to treat ASFV. Based on the structural information data on the targets of ASFV, we used molecular docking and machine learning models to identify novel antiviral agents. We confirmed that compounds with high affinity present in the region of interest belonged to subsets in the chemical space using principal component analysis and k-means clustering in molecular docking studies of FDA-approved drugs. These methods predicted pentagastrin as a potential antiviral drug against ASFVs. Finally, it was also observed that the compound had an inhibitory effect on AsfvPolX activity. Results from the present study suggest that molecular docking and machine learning models can play an important role in identifying potential antiviral drugs against ASFVs.

cDuring an outbreak of foot-and-mouth disease (FMD), real-time reverse transcription-PCR (rRT-PCR) is the most commonly used diagnostic method to detect viral RNA. However, while this assay is often conducted during the outbreak period, there is an inevitable risk of carryover contamination. This study shows that the carryover contamination can be prevented by the use of target-specific restriction endonuclease in that assay.