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The development of specific antiviral therapies targeting SARS-CoV-2 remains fundamental because of the continued high incidence of COVID-19 and limited accessibility to antivirals in some countries. In this context, dark chemical matter (DCM), a set of drug-like compounds with outstanding selectivity profiles that have never shown bioactivity despite being extensively assayed, appears to be an excellent starting point for drug development. Accordingly, in this study, we performed a high-throughput screening to identify inhibitors of the SARS-CoV-2 main protease (M pro ) using DCM compounds as ligands. Multiple receptors and two different docking scoring functions were employed to identify the best molecular docking poses. The selected structures were subjected to extensive conventional and Gaussian accelerated molecular dynamics. From the results, four compounds with the best molecular behavior and binding energy were selected for experimental testing, one of which presented inhibitory activity with a K i value of 48 ± 5 μM. Through virtual screening, we identified a significant starting point for drug development, shedding new light on DCM compounds.

Aim: Calmodulin interacts in many different ways with its ligands. We aim to shed light on its plasticity analyzing the changes followed by the linker region and the relative position of the lobes using conventional molecular dynamics, accelerated MD and scaled MD (sMD). Materials & methods: Three different structures of calmodulin are compared, obtaining a total of 2.5 μs of molecular dynamics, which have been analyzed using the principal component analysis and clustering methodologies. Results: sMD simulations reach conformations that conventional molecular dynamics is not able to, without compromising the stability of the protein. On the other hand, accelerated MD requires optimization of the setup parameters to be useful. Conclusion: sMD is useful to study flexible proteins, highlighting those factors that justify its promiscuity.

Targeting the BCL6 protein is a promising therapeutic strategy for the treatment of B cell lymphomas. One approach to treat these diseases consists of finding drug candidates able to disrupt the interactions established between BCL6 and its corepressors. Thus, this work presents a thorough comparative analysis of the interactions between the BCL6 BTB (bric-a-brac tramtrack broad complex) protein domain and its SMRT, NcoR and BCOR corepressor BBDs (BCL6 binding domain) through molecular dynamics. Moreover, a theoretical structure is presented and checked for the BCL6(BTB)-NcoR(BBD) complex. Considering the BBDs to be composed of 17 amino acids, our analyses show the region involving residues 4-15 of these 17 to play a main role in the protein-corepressor interactions. Particularly SER(11) seems to have a high relevance as it establishes specific bonds with BCL6(BTB) and is one of the only two residues sequence equivalent for the three studied corepressors. From this study, 14 pharmacophoric points have been proposed divided in two groups which coincide with residues 4-11 and 11-15, being SER(11) a hinge point. This finding suggests the possibility of searching for 2 small molecule inhibitors, mimicking 8 and 7 pharmacophoric points, respectively, which could incorporate a hydrogen donor pharmacophoric point mimicking SER(11) in any or both molecules. In short, the present work aims to contribute further knowledge in the modeling of drugs mimicking BCL6(BTB)-corepressor complexes., (Copyright © 2014 Elsevier Inc. All rights reserved.)