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FtsZ is an essential bacterial protein abundantly studied as a novel and promising target for antimicrobials. FtsZ is highly conserved among bacteria and mycobacteria, and it is crucial for the correct outcome of the cell division process, as it is responsible for the division of the parent bacterial cell into two daughter cells. In recent years, the benzodioxane–benzamide class has emerged as very promising and capable of targeting both Gram-positive and Gram-negative FtsZs. In this study, we explored the effect of including a substituent on the ethylenic linker between the two main moieties on the antimicrobial activity and pharmacokinetic properties. This substitution, in turn, led to the generation of a second stereogenic center, with both erythro and threo isomers isolated, characterized, and evaluated. With this work, we discovered how the hydroxy group slightly affects the antimicrobial activity, while being an important anchor for the exploitation and development of prodrugs, probes, and further derivatives.

Virtual drug screening (VDS) tackles the problem of drug discovery by computationally reducing the number of potential pharmacological molecules that need to be tested experimentally to find a new drug. To do so, several approaches have been developed through the years, typically focusing on either the physicochemical characteristics of the receptor structure (structure-based virtual screening) or those of the potential ligands (ligand-based virtual screening). Scipion is a workflow engine well suited for structural studies of biological macromolecules. Here, we present Scipion-chem, a new branch oriented to VDS. A total of 11 plugins have already been integrated from the most common programs used in the field. They can be used through the Scipion graphical user interface to execute and analyze typical VDS tasks. In addition, we have developed several consensus protocols that combine results from the different integrated programs to generate more robust predictions. Backstage, Scipion also facilitates the interoperability of those different software packages while tracking all of the intermediate files, parameters, and user decisions. In summary, in this article, we present Scipion-chem. This accessible, interoperable, and traceable platform provides the user with all of the tools to carry out a successful VDS workflow. Scipion-chem is openly available at https://github.com/scipion-chem.

Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), initially reported in Wuhan (China) hasspread worldwide. Like other viruses, SARS-CoV-2 accumulates mutations with each cycle of replication by continuously evolving a viral strain with one or more single nucleotide variants (SNVs). However, SNVs that cause severe COVID-19 or lead to immune escape or vaccine failure are not well understood. We aim to identify SNVs associated with severe clinical phenotypes., Methods: In this study, 27429 whole-genome aligned consensus sequences of SARS-CoV-2 were collected from genomic epidemiology of SARS-CoV-2 project in Spain (SeqCOVID) [1]. These samples were obtained from patients who required hospitalization and/or intensive care unit admission (ICU), excluding those registered in the first pandemic wave.Besides, 248 SARS-CoV-2 genomes were isolated from COVID-19 hospitalized patients from Gregorio Marañon General University Hospital (GMH) of which 142 were fully vaccinated. Bioinformatics tools using R and Python programming languages were developed and implemented comparing those to SARS-CoV-2 Wuhan-Hu-1 (reference genome)., Results: Using a selection threshold mutational frequency 10%, 27 SNVs were expected to have association with hospitalization and ICU risk. The reference haplotype differing at the SNV coding for lysine at the residue 203 (N:R203K) was found to have negative association with COVID-19 hospitalization risk (p = 5.37 x 10-04). Similarly, a negative association was observed when the residue at 501 is replaced by tyrosine (S:N501Y) (p = 1.33 x 10-02). The application of a Chi-square test suggested that SNV-haplotypes coding for mutants residues such as (S:A222V, N:A220V, ORF10:V30L) and (ORF1a:T1001I, ORF1a:I2230T, S:N501Y, S:T716S, S:S982A, ORF8:Q27*, N:R203K, N:S235F) have negative associations with COVID-19 hospitalization risk (p = 6.58 x 10-07 and p = 2.27 x 10-16, respectively) and COVID-19 ICU risk (p = 1.15 x 10-02 and p = 2.51 x 10-02, respectively). Focusing on the SNV-haplotype coding the mutations (S:A222V, N:A220V, N:D377Y, ORF10:V30L) were observed to increase the risk of COVID-19 hospitalization (p = 2.71 x 10-04). Results from SARS-CoV-2 genomes analysis from GMH showed 63 coding SNVs which met the established threshold value. Applying a Chi-square test, the SNV-haplotype carrying coding variants for mutant residues in 5 ORF proteins and surface and membrane glycoprotein and nucleocapsid phosphoprotein was significantly associated with vaccine failure in hospitalized COVID-19 patients (p = 7.91 x 10-04)., Conclusions: SNV-haplotypes carrying variants lead to non-synonymous mutations located along SARS-CoV-2 wholeproteome may influence COVID-19 severity and vaccine failure suggesting a functional role in the clinical outcome for COVID-19 patients.

Multitarget drugs are a promising therapeutic approach against Alzheimer’s disease. In this work, a new family of 5-substituted indazole derivatives with a multitarget profile including cholinesterase and BACE1 inhibition is described. Thus, the synthesis and evaluation of a new class of 5-substituted indazoles has been performed. Pharmacological evaluation includes in vitro inhibitory assays on AChE/BuChE and BACE1 enzymes. Also, the corresponding competition studies on BuChE were carried out. Additionally, antioxi- dant properties have been calculated from ORAC assays. Furthermore, studies of anti-inflammatory proper- ties on Raw 264.7 cells and neuroprotective effects in human neuroblastoma SH-SY5Y cells have been performed. The results of pharmacological tests have shown that some of these 5-substituted indazole derivatives 1–4 and 6 behave as AChE/BuChE and BACE1 inhibitors, simultaneously. In addition, some indazole derivatives showed anti-inflammatory (3, 6) and neuroprotective (1–4 and 6) effects against Ab- induced cell death in human neuroblastoma SH-SY5Y cells with antioxidant properties.