Molecular level investigation for identifying potential inhibitors against thymidylate kinase of monkeypox through in silico approaches.
Suman KoiralaSunanda SamantaSubhasmita MahapatraKapil Dattatray UrsalSayan PoddarParimal KarPublished in: Journal of biomolecular structure & dynamics (2023)
The need for more advanced and effective monkeypox (Mpox) treatments has become evident with numerous Mpox virus (MPXV) outbreaks. Over the years, interest has increased in developing targeted medicines that are efficient, safe, and precise while avoiding adverse effects. Here, we screened 32409 compounds against thymidylate kinase (TMPK), an emerging target for Mpox treatment. We studied their pharmacological characteristics and analyzed those through all-atom molecular dynamics simulations followed by molecular mechanics Poisson Boltzmann surface area (MM-PBSA) based free energy calculations. According to our findings, the leads CID40777874 and CID28960001 had the highest binding affinities towards TMPK with Δ G bind of -8.04 and -5.58 kcal/mol, respectively, which outperformed our control drug cidofovir (Δ G bind = -2.92 kcal/mol) in terms of binding favourability. Additionally, we observed crucial TMPK dynamics brought on by ligand-binding and identified key residues such as Phe68 and Tyr101 as the critical points of the protein-ligand interaction. The DCCM analysis revealed the role of ligand binding in stabilizing TMPK's binding region, as indicated by residual correlation motions. Moreover, the PSN analysis revealed that the interaction with ligand induces changes in residual network properties, enhancing the stability of complexes. We successfully identified novel compounds that may serve as potential building blocks for constructing contemporary antivirals against MPXV and highlighted the molecular mechanisms underlying their binding with TMPK. Overall, our findings will play a significant role in advancing the development of new therapies against Mpox and facilitating a comprehensive understanding of their interaction patterns.Communicated by Ramaswamy H. Sarma.
Keyphrases
- single cell
- molecular dynamics simulations
- binding protein
- molecular docking
- dna binding
- molecular dynamics
- single molecule
- emergency department
- tyrosine kinase
- protein kinase
- smoking cessation
- drug induced
- transcription factor
- small molecule
- data analysis
- protein protein
- combination therapy
- solid state
- infectious diseases