Computational modeling and druggability assessment of Aggregatibacter actinomycetemcomitans leukotoxin.

The leukotoxin (LtxA) of Aggregatibacter actinomycetemcomitans (A. actinomycetemcomitans) is a protein exotoxin belonging to the repeat-in-toxin family (RTX). Numerous studies have demonstrated that LtxA may play a critical role in the pathogenicity of A. actinomycetemcomitans since hyper-leukotoxic strains have been associated with severe disease. Accordingly, considerable effort has been made to elucidate the mechanisms by which LtxA interacts with host cells and induce their death. However, these attempts have been hampered by the unavailability of a tertiary structure of the toxin, which limits the understanding of its molecular properties and mechanisms. In this paper, we used homology and template free modeling algorithms to build the complete tertiary model of LtxA at atomic level in its calcium-bound Holo-state. The resulting model was refined by energy minimization, validated by Molprobity and ProSA tools, and subsequently subjected to a cumulative 600ns of all-atom classical molecular dynamics simulation to evaluate its structural aspects. The druggability of the proposed model was assessed using Fpocket and FTMap tools, resulting in the identification of four putative cavities and fifteen binding hotspots that could be targeted by rational drug design tools to find new ligands to inhibit LtxA activity.

In silico exploration of small-molecule α-helix mimetics as inhibitors of SARS-COV-2 attachment to ACE2.

The novel coronavirus, SARS-CoV-2, has infected more than 10 million people and caused more than 502,539 deaths worldwide as of June 2020. The explosive spread of the virus and the rapid increase in the number of cases require the immediate development of effective therapies and vaccines as well as accurate diagnosis tools. The pathogenesis of the disease is triggered by the entry of SARS-CoV-2 via its spike protein into ACE2-bearing host cells, particularly pneumocytes, resulting in overactivation of the immune system, which attacks the infected cells and damages the lung tissue. The interaction of the SARS-CoV-2 receptor binding domain (RBD) with host cells is primarily mediated by the N-terminal helix of ACE2; thus, inhibition of the spike-ACE2 interaction may be a promising therapeutic strategy for blocking the virus entry into host cells. In this paper, we used an in-silico approach to explore small-molecule α-helix mimetics as inhibitors that may disrupt the attachment of SARS-CoV-2 to ACE2. First, the RBD-ACE2 interface in the 6M0J structure was studied by the MM-GBSA decomposition module of the HawkDock server, which led to the identification of two critical target regions in the RBD. Next, two virtual screening experiments of 7236 α-helix mimetics from ASINEX were conducted on the above regions using the iDock tool, which resulted in 10 candidates with favorable binding affinities. Finally, the stability of RBD complexes with the top-two ranked compounds was further validated by 100 ns of molecular dynamics simulations.Communicated by Ramaswamy H. Sarma.

Targeting the GRP78-Dependant SARS-CoV-2 Cell Entry by Peptides and Small Molecules.

The global burden of infections and the rapid spread of viral diseases show the need for new approaches in the prevention and development of effective therapies. To this end, we aimed to explore novel inhibitor compounds that can stop replication or decrease the viral load of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), for which there is currently no approved treatment. Besides using the angiotensin-converting enzyme (ACE2) receptor as a main gate, the CoV-2 can bind to the glucose-regulating protein 78 (GRP78) receptor to get into the cells to start an infection. Here, we report potential inhibitors comprising small molecules and peptides that could interfere with the interaction of SARS-CoV-2 and its target cells by blocking the recognition of the GRP78 cellular receptor by the viral Spike protein. These inhibitors were discovered through an approach of in silico screening of available databases of bioactive peptides and polyphenolic compounds and the analysis of their docking modes. This process led to the selection of 9 compounds with optimal binding affinities to the target sites. The peptides (satpdb18674, satpdb18446, satpdb12488, satpdb14438, and satpdb28899) act on regions III and IV of the viral Spike protein and on its binding sites in GRP78. However, 4 polyphenols such as epigallocatechin gallate (EGCG), homoeriodictyol, isorhamnetin, and curcumin interact, in addition to the Spike protein and its binding sites in GRP78, with the ATPase domain of GRP78. Our work demonstrates that there are at least 2 approaches to block the spread of SARS-CoV-2 by preventing its fusion with the host cells via GRP78.

[Analysis of the infectious risk around the patient in the hemodialysis unit of Ibn Sina Rabat hospital using the failure modes, effects and criticality analysis method]. / Analyse du risque infectieux autour du patient dans l'unité d'hémodialyse de l'hôpital Ibn Sina de Rabat par application de la méthode d'analyse des modes de défaillance, de leurs effets et de leur criticité.

INTRODUCTION: Hemodialysis is a technique of extra-renal purification associated with high level of risk. The objective is to assess infectious risk during a hemodialysis session on hygiene around the patient in hospital. METHODS: An a priori risk assessment by Failure Modes, Effects and Criticality Analysis method (FMECA) was carried out from May to August 2018, in order to overview infectious risk during the process of hemodialysis in the Ibn Sina Hospital (Rabat, Morocco). RESULTS: Twenty eight failure modes were identified during the hemodialysis process around the patient: fourteen criticality level 1, ten level 2, and four level 3. A prevention plan has been drafted. Three of the four level 3 failure modes were reduced to level 1 and one to level 2. DISCUSSION: FMECA have enabled us to identify the potential risks, to reconsider certain procedures and to suggest measure matrix for the coverage of the most critical risks. CONCLUSION: This analysis makes it possible, through periodic evaluations, to enter a real quality approach, which reinforces the satisfaction of the patients as well as all the actors of the hemodialysis center.