Identification of potential inhibitors of HER2 targeting breast cancer-a structure-based drug design approach.

Breast cancer is one of the most prevalent and malignant cancers in women. Most breast cancer patients show overexpression of the HER2 protein. The current study focused on identifying potent inhibitors of HER2 using a structure-based drug design approach. Prefiltered compounds from the Drugbank and the ZINC database were docked on HER2 protein using the FlexX docking tool of LeadIT. The docking study identified the 12 best molecules that interacted strongly with the active site of HER2 and also fulfilled the ADMET parameters. The complexes of these compounds with HER2 were further subjected to molecular dynamics simulation using GROMACS 2021.4, followed by the end-state MMGBSA binding energy calculations. The RMSD analysis was conducted to study the conformational changes, which revealed stability throughout the 100 ns simulation period. The local flexibility and dynamics of the simulated ligand-protein complexes were studied using RMSF analysis. The values of the radius of gyration were computed to analyze the compactness of HER2. The MMGBSA analysis provided insights into the energetic aspects of the system. The compound DB15187 emerged as the most potent candidate, showing MMGBSA-computed binding energy of -63.60 ± 3.39 kcal/mol. The study could help develop targeted therapies for HER2-positive breast cancer.Communicated by Ramaswamy H. Sarma.

Exploring the therapeutic potential of galidesivir analogs against Zaire ebolavirus protein 24 (V24): database screening, molecular docking, drug-relevant property evaluation and molecular dynamics simulations.

The recent outbreak of the Ebola virus (EBOV) has marked it as one of the most severe health threats globally. Among various anti-EBOV inhibitors studied, galidesivir (BCX4430) has shown remarkable efficacy. This study aims to identify novel potential anti-EBOV drugs among galidesivir analogs, focusing on the Zaire ebolavirus (Z-EBOV), which exhibits a mortality rate of 90%. We subjected 200 candidate compounds to molecular docking calculations, followed by an evaluation of the bioactivity of the top 25 compounds using the OSIRIS Property Explorer. Initial 50 ns molecular dynamics (MD) simulations were then performed. According to our findings, only six compounds exhibited positive drug scores. We further performed molecular mechanics Poisson-Boltzmann surface area (MM/PBSA) calculations of binding energy over 50 ns, selecting the two top-performing compounds for extended 150 ns MD simulations. CID 117698807 and CID 117712809 showed higher binding stability compared to galidesivir, with ΔGbinding values of -36.7 and -53.4 kcal/mol, respectively. Both compounds demonstrated high stability within the Z-EBOV-V24 active site over the 150 ns MD simulations. Hence, our study proposes CID 117698807 and CID 117712809 as potential anti-Z-EBOV-V24 drug candidates, warranting further investigation.Communicated by Ramaswamy H. Sarma.

Elucidating novel antibacterial compounds from the NPASS database against the FimH lectin domain for the treatment of urinary tract infections: an in-silico study.

The increase in multidrug-resistant pathogens in urinary tract infections (UTIs) among communities and hospitals threatens our ability to treat these common pathogens. Uropathogenic Escherichia coli (UPEC) strains are the most frequent uropathies linked to the development of UTIs. This work aims to introduce bioactive natural products via virtual screening of small molecules from a public database to prevent biofilm formation by inhibiting FimH, a type 1 fimbriae that plays a crucial role in UPEC pathogenicity. A total of 30926 small molecules from the NPASS database were subjected to screening via molecular docking. Followed by performing in silico ADME studies, seven molecules showed promising docking results ranging from -6.8 to -8.7 kcal/mol. As a result of the docking score findings, 100 ns Molecular dynamics (MD) simulations were performed. Based on MM-PBSA analysis, NPC313334 ligand showed high binding affinity -42 and stability with the binding pocket of FimH protein during molecular dynamic simulations. DFT calculations were also performed on the ligands to calculate the HOMO-LUMO energies of the compounds in order to an idea about their structure and reactivity. This research suggests that NPC313334 may be a possible antibacterial drug candidate that targets FimH to reduce the number of UPEC-related urinary tract infections.Communicated by Ramaswamy H. Sarma.