In silico and POM analysis for potential antimicrobial agents of thymidine analogs by using molecular docking, molecular dynamics and ADMET profiling.
Mohammed A HosenFaizan Abul QaisSamir ChtitaIbrahim A RahmanAhmed M AlmehdiFerdausi AliFaisal A AlmalkiTaibi Ben HaddaHamid LaaroussiSarkar Mohammad Abe KawsarPublished in: Nucleosides, nucleotides & nucleic acids (2023)
Nucleoside analogs are an important, well-established class of clinically useful medicinal agents that exhibit potent antimicrobial activity. Thus, we designed to explore the synthesis and spectral characterization of 5'- O- (myristoyl)thymidine esters (2-6) for in vitro antimicrobial, molecular docking, molecular dynamics, SAR, and POM analyses. An unimolar myristoylation of thymidine under controlled conditions furnished the 5'- O- (myristoyl)thymidine and it was further converted into four 3'- O -(acyl)-5'- O -(myristoyl)thymidine analogs. The chemical structures of the synthesized analogs were ascertained by analyzing their physicochemical, elemental, and spectroscopic data. In vitro antimicrobial tests along with PASS, prediction indicated expectant antibacterial functionality of these thymidine esters compared to the antifungal activities. In support of this observation, their molecular docking studies have been performed against lanosterol 14α-demethylase (CYP51A1) and Aspergillus flavus (1R51) and significant binding affinities and non-bonding interactions were observed. The stability of the protein-ligand complexes was monitored by a 100 ns MD simulation and found the stable conformation and binding mode in a stimulating environment of thymidine esters. Pharmacokinetic predictions were studied to assess their ADMET properties and showed promising results in silico . SAR investigation indicated that acyl chains, lauroyl (C-12) and myristoyl (C-14), combined with deoxyribose, were most effective against the tested bacterial and fungal pathogens. The POM analyses provide the structural features responsible for their combined antibacterial/antifungal activity and provide guidelines for further modifications, with the aim of improving each activity and selectivity of designed drugs targeting potentially drug-resistant microorganisms. It also opens avenues for the development of newer antimicrobial agents targeting bacterial and fungal pathogens.
Keyphrases
- molecular docking
- molecular dynamics
- molecular dynamics simulations
- drug resistant
- density functional theory
- staphylococcus aureus
- multidrug resistant
- gram negative
- acinetobacter baumannii
- anti inflammatory
- single cell
- cancer therapy
- small molecule
- high resolution
- cystic fibrosis
- cell wall
- deep learning
- artificial intelligence
- dengue virus