Dra. Gerli-Candia, Lorena

A bacterial biofilm is a cluster of bacterial cells embedded in a self-produced matrix of extracellular polymeric substances such as DNA, proteins, and polysaccharides. Several diseases have been reported to cause by bacterial biofilms, and difficulties in treating these infections are of concern. This work aimed to identify the inhibitor with the highest binding affinity for the receptor protein by screening various inhibitors obtained from Azorella species for a potential target to inhibit dispersin B. This work shows that azorellolide has the highest binding affinity (− 8.2 kcal/mol) among the compounds tested, followed by dyhydroazorellolide, mulinone A, and 7-acetoxy-mulin-9,12-diene which all had a binding affinity of − 8.0 kcal/mol. To the best of our knowledge, this is the first study to evaluate and contrast several diterpene compounds as antibacterial biofilm chemicals. Methods: Here, molecular modelling techniques tested 49 diterpene compounds of Azorella and six FDA-approved antibiotics medicines for antibiofilm activity. Since protein-like interactions are crucial in drug discovery, AutoDock Vina was initially employed to carry out structure-based virtual screening. The drug-likeness and ADMET properties of the chosen compounds were examined to assess the antibiofilm activity further. Lipinski’s rule of five was then applied to determine the antibiofilm activity. Then, molecular electrostatic potential was used to determine the relative polarity of a molecule using the Gaussian 09 package and GaussView 5.08. Following three replica molecular dynamic simulations (using the Schrodinger program, Desmond 2019-4 package) that each lasted 100 ns on the promising candidates, binding free energy was estimated using MM-GBSA. Structural visualisation was used to test the binding affinity of each compound to the crystal structure of dispersin B protein (PDB: 1YHT), a well-known antibiofilm compound.

In the present study, we performed a computational study to gain insights on the binding mode and high affinity of pregabalin, its inactive isomer (R-pregabalin) and gabapentin when modulating voltage-gated calcium channels. Quantum chemical descriptors were evaluated at two different levels of theory (ωB97XD and B3LYP-D3) for the three molecules. The results show that the three ligands have similar quantum chemical descriptors, suggesting that the affinity is governed by the binding pose and the ability to access the pocket. The binding mode analysis of pregabalin indicates that it is interacting with 12 residues (6 hydrogen bonds) including Arg217, which is key to pregabalin action mechanism. Our results suggest that the electrostatic interactions and the hydrogen bonds between pregabalin and Arg217 could explain its high affinity, highlighting the importance of Arg217 in the pharmacological action.