MedChemExpress compounds prevent neuraminidase N1 via physics- and knowledge-based methods.

Influenza A viruses spread out worldwide, causing several global concerns. Hence, discovering neuraminidase inhibitors to prevent the influenza A virus is of great interest. In this work, a machine learning model was employed to evaluate the ligand-binding affinity of ca. 10 000 compounds from the MedChemExpress (MCE) database for inhibiting neuraminidase. Atomistic simulations, including molecular docking and molecular dynamics simulations, then confirmed the ligand-binding affinity. Furthermore, we clarified the physical insights into the binding process of ligands to neuraminidase. It was found that five compounds, including micronomicin, didesmethyl cariprazine, argatroban, Kgp-IN-1, and AY 9944, are able to inhibit neuraminidase N1 of the influenza A virus. Ten residues, including Glu119, Asp151, Arg152, Trp179, Gln228, Glu277, Glu278, Arg293, Asn295, and Tyr402, may be very important in controlling the ligand-binding process to N1.

Rapid identification of SARS-CoV-2 strains via isothermal enzymatic recombinase amplification and nanopore sequencing.

Surveillance of the SARS-CoV-2 genome has become a crucial technique in the management of COVID-19, aiding the pandemic response and supporting effective public health interventions. Typically, whole-genomic sequencing is used along with PCR-based target enrichment techniques to identify SARS-CoV-2 variants, which is a complicated and time-consuming process that requires central laboratory facilities. Thus, there is an urgent need to develop rapid and cost-effective tools for precise on-site detection and identification of SARS-CoV-2 strains. In this study, we demonstrate the rapid diagnosis of COVID-19 and identification of SARS-CoV-2 variants by amplification and sequencing of the entire SARS-CoV-2 S gene using isothermal enzymatic recombinase amplification combined with the advanced Oxford nanopore sequencing technique. The entire procedure, from sampling to sequencing, takes less than 8 hours and can be performed with limited resources. The newly developed method has noteworthy implications for examining the transmission dynamics of the virus, detecting novel genetic variants, and assessing the effect of mutations on diagnostic approaches, antiviral treatments, and vaccines.

A close-up shot of protein-protein docking, from experiment to theory and reverse with the PROTAC performers.

PROTACs (Proteolysis Targeting Chimeras), heterobifunctional molecules, exhibit selectivity in degrading target proteins through E3 ubiquitin ligases. Designing effective PROTACs requires a deep understanding of the intricate binding interactions in the ternary complex (POI/PROTAC/E3 ligase), crucial for efficient target protein degradation. To address this challenge, we introduce a novel computational virtual screening method that considers essential amino acid interactions between the protein of interest and the chosen E3 ligase. This approach enhances accuracy and reliability, facilitating the strategic development of potent PROTACs. Utilizing a crystallized model of the VHL:PROTAC:SMARCA2BD ternary complex (PDB: 7Z6L), we assessed the effectiveness of our method. Our study reveals that increasing the number of essential restraints between the two proteins reduces the generated docking poses, leading to closer alignment with the experimental ternary complex. Specifically, utilizing three restraints showed the closest resemblance to the published complex, highlighting crucial interactions such as an H-bond between A:Gln 89 and B:Asn 67, along with two hydrophobic interactions: A:Gly 22 with B:Arg 69 and A:Glu 37 with B:Pro 99. This resulted in a significant decrease in the mean RMSD value from 31.8 and 31.0 Å to 24.4 Å, respectively. This underscores the importance of incorporating multiple essential restraints to enhance docking accuracy. Building on this progress, we introduce a systematic approach to design potential PROTACs between the Estrogen receptor and the E3 ligase, utilizing bridging intermediates with 4, 6, or 7 carbon atoms. By providing a more accurate and efficient means of identifying optimal PROTAC candidates, this approach has the potential to accelerate the development of targeted therapies and reduce the time and costs associated with drug discovery.Communicated by Ramaswamy H. Sarma.

SARS-CoV-2 omicron RBD forms a weaker binding affinity to hACE2 compared to Delta RBD in in-silico studies.

The COVID-19 pandemic sparked an unprecedented race in biotechnology in a search for effective therapies and a preventive vaccine. The continued appearance of SARS-CoV-2 variants of concern (VoCs) further swept the world. The entry of SARS-CoV-2 into cells is mediated by binding the receptor-binding domain (RBD) of the S protein to the cell-surface receptor, human angiotensin-converting enzyme 2 (hACE2). In this study, using a coarse-grained force field to parameterize the system, we employed steered-molecular dynamics (SMD) simulations to reveal the binding of SARS-CoV-2 Delta/Omicron RBD to hACE2. Our benchmarked results demonstrate a good correlation between computed rupture force and experimental binding free energy for known protein-protein systems. Moreover, our findings show that the Omicron RBD has a weaker binding affinity to hACE2, consistent with the respective experimental results. This indicates that our method can effectively be applied to other emerging SARS-CoV-2 strains.Communicated by Ramaswamy H. Sarma.

Machine learning combines atomistic simulations to predict SARS-CoV-2 Mpro inhibitors from natural compounds.

To date, the COVID-19 pandemic has still been infectious around the world, continuously causing social and economic damage on a global scale. One of the most important therapeutic targets for the treatment of COVID-19 is the main protease (Mpro) of SARS-CoV-2. In this study, we combined machine-learning (ML) model with atomistic simulations to computationally search for highly promising SARS-CoV-2 Mpro inhibitors from the representative natural compounds of the National Cancer Institute (NCI) Database. First, the trained ML model was used to scan the library quickly and reliably for possible Mpro inhibitors. The ML output was then confirmed using atomistic simulations integrating molecular docking and molecular dynamic simulations with the linear interaction energy scheme. The results turned out to show that there was evidently good agreement between ML and atomistic simulations. Ten substances were proposed to be able to inhibit SARS-CoV-2 Mpro. Seven of them have high-nanomolar affinity and are very potential inhibitors. The strategy has been proven to be reliable and appropriate for fast prediction of SARS-CoV-2 Mpro inhibitors, benefiting for new emerging SARS-CoV-2 variants in the future accordingly.

Calculation of binding affinity of JAK1 inhibitors via accurately computational estimation.

Janus kinase 1 (JAK1) is a tyrosine kinase that is involved in the initiation of responses to a number of different cytokine receptor families. The JAK1-dependent pathway is a therapeutic target, and several JAK inhibitors have been developed thanks to intensive research. However, since the ATP binding sites of JAK family members are quite alike, JAK1 inhibitors can thus be less selective, resulting in unanticipated adverse effects. Despite this, minor variations in the ATP-binding site have been extensively used to find a variety of small compounds with different inhibitory properties. Stronger binding affinity of JAK1 inhibitors is believed to be able to reduce the negative effects, leading to better treatment results. Therefore, a thorough computational search that can effectively identify ligands with extremely high binding affinity for JAK1 to serve as promising inhibitors is required. Here, a method combining steered-molecular dynamic (SMD) simulations with a modified linear interaction energy (LIE) model has been developed to evaluate the binding affinities of known JAK1 inhibitors. The correlation coefficient between the estimated and experimental values was 0.72 and a root-mean-square error was 0.97 kcal•mol-1, revealing that the SMD/LIE method can precisely and quickly predict the binding free energies of JAK1 inhibitors. Furthermore, three marine fungus-derived compounds, namely hansforesters E, hansforesters G and tetroazolemycins B, were identified to be particularly promising JAK1 inhibitors, accordingly. These findings show that the SMD/LIE method has a lot of promise for in silico screening of possible JAK1 inhibitors from a vast number of compounds that are now accessible.Communicated by Ramaswamy H. Sarma.

A computationally affordable approach for accurate prediction of the binding affinity of JAK2 inhibitors.

Janus kinase 2 (JAK2) inhibitors are potential anticancer drugs in the treatment of lymphoma, leukemia, thrombocytosis and particularly myeloproliferative diseases. However, the resemblance among JAK family members has challenged the identification of highly selective inhibitors for JAK2 to reduce undesired side effects. As a result, a robust search for promising JAK2 inhibitors using a computational approach that can effectively nominate new potential candidates to be further analyzed through laborious experimental operations has become necessary. In this study, the binding affinities of JAK2 inhibitors were rapidly and precisely estimated using the fast pulling of ligand (FPL) simulations combined with a modified linear interaction energy (LIE) method. The approach correlates with the experimental binding affinities of JAK2 inhibitors with a correlation coefficient of R = 0.82 and a root-mean-square error of 0.67 kcal•mol-1. The data reveal that the FPL/LIE method is highly approximate in anticipating the relative binding free energies of known JAK2 inhibitors with an affordable consumption of computational resources, and thus, it is very promising to be applied in in silico screening for new potential JAK2 inhibitors from a large number of molecules available.

Direct multiplex recombinase polymerase amplification for rapid detection of S taphylococcus aureus and P seudomonas aeruginosa in food.

Food and beverage poisoning is detrimental to people's health since it can lead to fever, stomachaches, and even death. To rapidly detect the presence of foodborne pathogens, conventional PCR assays are currently widely employed. Meanwhile, isothermal PCR methods, in which the amplification reactions take place at a low and constant temperature, have lately emerged as effective and alternative means for quickly identifying pathogens in low-resource settings. Staphylococcus aureus and Pseudomonas aeruginosa are two of the most concerning foodborne bacterial infections. In this work, an isothermal PCR assay based on the Recombinase Polymerase Amplification (RPA) method was developed to simultaneously detect S. aureus and P. aeruginosa with high sensitivity and specificity. The limit of detection for multiplex RPA was 10 and 30 fg/reaction of S. aureus and P. aeruginosa genomic DNA, respectively. Furthermore, the reaction time was reduced to only 25 minutes, with a low incubation temperature of 39°C. Multiplex RPA reactions, in particular, were successful in directly identifying as low as 1 and 5 CFU/reaction of S. aureus and P. aeruginosa cells, respectively, without the need for DNA genome extraction. Moreover, the multiplex RPA reliably detected the two foodborne bacteria in milk, fruit juice, and bottled water samples. In conclusion, the direct multiplex RPA reported in this work offers a quick, easy, sensitive, and effective alternative approach for detecting the presence of S. aureus and P. aeruginosa without the requirement of a pricey instrument or highly-trained personnel.

In silico screening of potential ß-secretase (BACE1) inhibitors from VIETHERB database.

For the purpose of discovering potential inhibitors of ß-amyloid (BACE1), which is a crucial element in Alzheimer's disease (AD) pathogenesis, an in silico study of naturally occurring compounds was performed using precise computational approaches. Autodock4 package was preliminary used to predict the binding affinities to BACE1 of more than four thousand compounds presented in the Vietnamese plants (VIETHERB) database. Based on docking results, twenty top-lead compounds having the largest docking energy to BACE1 were rigorously examined using steered molecular dynamics (SMD) simulations. Interestingly, SMD results found that the binding affinity values of three compounds, including myricetin 3-O-(3''-galloylrhamnopyranoside), quercetin 3-O-neohesperidoside, and hydroxysafflor yellow A, are remarkably higher than that of the well-known BACE1 inhibitor, 23I, and these compounds can thus be considered the promising candidates for inhibitors of BACE1.

Computational investigation of possible inhibitors of the winged-helix domain of MUS81.

The methyl methanesulfonate and ultraviolet sensitive 81 (MUS81) is a structure-specific endonuclease that is highly conserved in eukaryotes and essential for homologous recombination repair. The winged-helix domain at the N-terminus of MUS81 (wMUS81) can bind DNA substrates and regulate the endonuclease activity. The repression of MUS81 activity could enhance the sensitivity to antitumor compounds of different tumour cells. Thus, MUS81 is a potential therapeutic target in cancer therapy. However, specific inhibitors of MUS81 have remained elusive. Here, for the first time, we attempt to discover the compounds disrupting the wMUS81 activity. The binding affinity of available drugs to wMUS81 was first estimated by molecular docking. pKa values were taken into consideration to eliminate unlikely protonation states of the ligands. Top-lead compounds were then estimated the binding affinity using the fast pulling ligand simulations. Finally, the free energy perturbation method accurately defined the absolute binding free energy of the top four ligands, revealing the most potential inhibitors of wMUS81 including simeprevir and nilotinib. Binding of simeprevir destabilizes the ß-hairpin region of wMUS81, likely disturbing the wMUS81 function. The van der Waals free binding energy majorly modulates the ligand-binding mechanism. The two conserved residues Leu189 and Arg196 are likely important in monitoring the interacting process of simeprevir to wMUS81.

Computational estimation of potential inhibitors from known drugs against the main protease of SARS-CoV-2.

The coronavirus disease (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has rapidly spread worldwide recently, leading to global social and economic disruption. Although the emergently approved vaccine programs against SARS-CoV-2 have been rolled out globally, the number of COVID-19 daily cases and deaths has remained significantly high. Here, we attempt to computationally screen for possible medications for COVID-19 via rapidly estimating the highly potential inhibitors from an FDA-approved drug database against the main protease (Mpro) of SARS-CoV-2. The approach combined molecular docking and fast pulling of ligand (FPL) simulations that were demonstrated to be accurate and suitable for quick prediction of SARS-CoV-2 Mpro inhibitors. The results suggested that twenty-seven compounds were capable of strongly associating with SARS-CoV-2 Mpro. Among them, the seven top leads are daclatasvir, teniposide, etoposide, levoleucovorin, naldemedine, cabozantinib, and irinotecan. The potential application of these drugs in COVID-19 therapy has thus been discussed.

Direct colorimetric LAMP assay for rapid detection of African swine fever virus: A validation study during an outbreak in Vietnam.

African swine fever (ASF) is a highly infectious viral disease with high mortality. The most recent ASF outbreak in Vietnam began in 2019, posing a threat to spread to the neighbouring Asian countries. Without a commercial vaccine or efficient chemotherapeutics, rapid diagnosis and necessary biosecurity procedures are required to control the disease. While the diagnostic method of ASF recommended by the World Organization of Animal Health is real-time PCR, the ideal diagnosis procedure including master mix setup, template extraction and a high-cost qPCR equipment for many samples being tested simultaneously is not portable. In this study, a colorimetric loop-mediated isothermal amplification (LAMP) assay was modified and evaluated for ASF virus detection using crude serum samples collected from domestic pigs in Vietnam during the 2019 outbreak. The LAMP results can be readily visualized to the naked eye within 30 min without the requirement of DNA extraction and sophisticated equipment. The sensitivity, specificity and limit of detection of direct colorimetric LAMP assay were comparable to a commercial diagnostic real-time PCR kit. Results strongly indicate that the adapted colorimetric LAMP assay has a remarkable potential for the in-field diagnosis of ASF.

The cruciform DNA-binding protein Crp1 stimulates the endonuclease activity of Mus81-Mms4 in Saccharomyces cerevisiae.

The Saccharomyces cerevisiae Mus81-Mms4 complex is a highly conserved DNA structure-specific endonuclease that plays essential roles in the processing of recombination intermediates that arise during the repair of stalled replication forks and double-stranded breaks. To identify novel factors functioning conjointly with Mus81-Mms4, we performed a biochemical screen and found that Crp1, a cruciform DNA-recognizing protein that specifically binds to DNA four-way junction structures, could stimulate the Mus81-Mms4 endonuclease. The specific protein interaction between Mus81-Mms4 and Crp1 was responsible for the stimulation observed. Multicopy expression of Crp1 could partially rescue the sensitivity to DNA-damaging agents of the sgs1∆mus81∆21-24N mutant. Our results provide insight into the functional role and interaction of Crp1 with other proteins involved in DNA repair.

Estimation of the ligand-binding free energy of checkpoint kinase 1 via non-equilibrium MD simulations.

Checkpoint kinase 1 (CHK1) is a serine/threonine-protein kinase that is involved in cell cycle regulation in eukaryotes. Inhibition of CHK1 is thus considered as a promising approach in cancer therapy. In this study, the fast pulling of ligand (FPL) process was applied to predict the relative binding affinities of CHK1 inhibitors using non-equilibrium molecular dynamics (MD) simulations. The work of external harmonic forces to pull the ligand out of the binding cavity strongly correlated with the experimental binding affinity of CHK1 inhibitors with the correlation coefficient of R = -0.88 and an overall root mean square error (RMSE) of 0.99 kcal/mol. The data indicate that the FPL method is highly accurate in predicting the relative binding free energies of CHK1 inhibitors with an affordable CPU time. A new set of molecules were designed based on the molecular modeling of interactions between the known inhibitor and CHK1 as inhibitory candidates. Molecular docking and FPL results exhibited that the binding affinities of developed ligands were similar to the known inhibitor in interaction with the catalytic site of CHK1, producing very potential CHK1 inhibitors of that the inhibitory activities should be further evaluated in vitro.

Detecting Fasciola hepatica and Fasciola gigantica microRNAs with loop-mediated isothermal amplification (LAMP).

Fascioliasis is a parasitic infection typically caused by two common parasites of class Trematodo, genus Fasciola, namely Fasciola hepatica and Fasciola gigantica. The widespread of these species in water and food makes fascioliasis become a global zoonotic disease that affects 2.4 million people in more than 75 countries worldwide. Typically, F. hepatica and F. gigantica can be recognized by parasitological techniques to detect Fasciola spp. eggs, immunological techniques to detect worm-specific antibodies, or by molecular techniques such as PCR to detect parasitic genomic DNA. Recently, miRNAs have been raised as a key regulator and potential diagnostic biomarkers of diseases, including parasitic infection. An isothermal PCR called loop-mediated isothermal amplification (LAMP) is rapid, sensitive, and its amplification process is so extensive that making LAMP well-suited for field diagnostics. LAMP reactions for miRNA detection have been introduced and were able to detect the target miRNA amounts in the wide range of 1.0 amol to 1.0 pmol, exhibiting high selectivity to differentiate one-base between miRNA sequences. Here, we introduced a modified LAMP to detect a species-specific miRNA of F. hepatica and F. gigantica. Our method did not demand an initial heating step and the reactions had a high sensitivity that greater than 1000 times in comparison to that reported in previous studies. Most importantly, the technique could perform well with parasitic miRNA presenting in bovine serum samples without sophisticated equipment required. These results create a promising technique basis for some novel and simple device to diagnose fascioliasis and other parasitic infection diseases at point-of-care.

Etersalate prevents the formations of 6Aß16-22 oligomer: An in silico study.

Oligomerization of amyloid beta (Aß) peptides has been considered as the crucially causative agent in the development of Alzheimer's disease. Etersalate, a nonsteroidal anti-inflammatory oral drug (United State Food and Drug Administration-Unique Ingredient Identifier: 653GN04T2G) was previously suggested to bind well to proto-fibrils of Aß peptides in silico. Here, the effect of etersalate on the oligomerization of soluble Aß16-22 hexamer (6Aß16-22) were extensively investigated using temperature replica exchange molecular dynamics (REMD) simulations over ~16.8 µs in total for 48 replicas (350 ns per replica). The results reveal that etersalate can enter the inner space or bind on the surface of 6Aß16-22 conformations, which destabilizes the hexamer. Etersalate was predicted to able to cross the blood brain barrier using prediction of absorption, distribution, metabolism, and excretion-toxicity (preADMET) tools. Overall, although the investigation was performed with the low concentration of trial inhibitor, the obtained results indicate that etersalate is a potential drug candidate for AD through inhibiting formation of Aß oligomers with the average binding free energy of -11.7 kcal/mol.

Saccharomyces cerevisiae Mus81-Mms4 and Rad52 can cooperate in the resolution of recombination intermediates.

Mus81 is a well-conserved DNA structure-specific endonuclease which belongs to the XPF/Rad1 family of proteins that are involved in DNA nucleotide excision repair. Mus81 forms a heterodimer with a non-catalytic subunit, Mms4, in Saccharomyces cerevisiae (Eme1/EME1 in Schizosaccharomyces pombe and mammals). Recent evidence shows that Mus81 functions redundantly with Sgs1, a member of the ubiquitous RecQ family of DNA helicases, to process toxic recombinant intermediates. In budding yeast, homologous recombination is regulated by the Rad52 epistasis group of proteins, including Rad52, which stimulates the main steps of DNA sequence-homology searching. Mus81 was proven to act in the Rad52-dependent pathway. Here, we demonstrate that Rad52 and Mus81-Mms4 possesses a functional interaction; the presence of Rad52 significantly enhances the endonuclease activity of Mus81-Mms4 on a broad range of its preferred synthetic substrates. Furthermore, this functional interaction is demonstrated to be species specific. We fragmented Rad52 and found that the N-terminal fragment from the 86th to 169th amino acid residue, which belongs to DNA-binding and self-association domains, can stimulate Mus81-Mms4 endonuclease. These results strongly support the notion that Rad52 and Mus81-Mms4 collaborate and work jointly in processing of homologous recombination intermediates.

The possible function of Flp1 in homologous recombination repair in Saccharomyces cerevisiae.

Saccharomyces cerevisiae Mus81 is a structure-selective endonuclease which constitutes an alternative pathway in parallel with the helicase-topoisomerase Sgs1-Top3-Rmi1 complex to resolve a number of DNA intermediates during DNA replication, repair, and homologous recombination. Previously, it was showed that the N-terminal region of Mus81 was required for its in vivo function in a redundant manner with Sgs1; mus81Δ120N mutant that lacks the first 120 amino acid residues at the N-terminus exhibited synthetic lethality in combination with the loss of SGS1. In this study, the physiologically important role of the N-terminal region of Mus81 in processing toxic intermediates was further investigated. We examined the cellular defect of sgs1Δmus81Δ100N cells and observed that although viable, the cells became very sensitive to DNA damaging agents. A single-copy suppressor screening to seek for a factor(s) that could rescue the drug sensitivity of sgs1Δmus81Δ100N cells was performed and revealed that Flp1, a site-specific recombinase 1 encoded on the 2-micron plasmid was a suppressor. Moreover, Flp1 overexpression could partially suppress the drug sensitivity of mus81Δ cells at 37 °C. Our findings suggest a possible function of Flp1 in coordination with Mus81 and Sgs1 to jointly resolve the branched-DNA structures generated in cells attempting to repair DNA damages.