In Silico Prediction, Characterization and Molecular Docking Studies on New Benzamide Derivatives

Abstract

Recent research papers have confirmed the prevalence of microorganisms resistant to numerous antimicrobial agents, leading to spreading infections, extended hospitalizations, and increased mortality rates. The amplifying factors stimulate the need to discover new molecules able to cut off the developing resistance of pathogens against medicines. The current study presents a molecular docking procedure applied on 15 new pyridine–thiourea derivatives in order to test their activities against S. aureus and E. coli. The protein crystal structures were obtained from the Protein Data Bank (PDB). Processes such as geometry optimization, molecular properties (log P, polarizability, E HOMO, E LUMO, area and volume of the molecules, and ovality), drug-likeness, pharmacokinetic and pharmacogenomic profiles, and molecular docking studies are discussed in the present research. The approach involved the determination of the molecular properties for each chemical structure by using the Spartan 14 software, followed by the evaluation of their binding affinity through a specific docking score with the aid of the CLC Drug Discovery Workbench. Each studied compound established hydrogen bonds with the selected receptors, leading to suitable docking scores and increasing the chances of the compound being considered for further investigation.