In silico study of possible Marburg virus VP35 inhibitors using structure based virtual screening, ADMET, stability approach via DFT and molecular dynamics simulations
Authors
Bader Y. Alhatlani (ORCID: https://orcid.org/0000-0003-0871-6313)
Kannan R. R. Rengasamy (ORCID: https://orcid.org/0000-0001-7205-7389)
In silico study of possible Marburg virus VP35 inhibitors using structure based virtual screening, ADMET, stability approach via DFT and molecular dynamics simulations
Bader Y. Alhatlani, Kannan R. R. Rengasamy, Mebarka Ouassaf, Shafi Ullah Khan et al.
Citations
2 citations
Journal
Results in Chemistry
Topics
Viral Infections and Outbreaks Research
Field-Weighted Citation Impact (FWCI)
2.79
article
In silico study of possible Marburg virus VP35 inhibitors using structure based virtual screening, ADMET, stability approach via DFT and molecular dynamics simulations
Bader Y. Alhatlani, Kannan R. R. Rengasamy, Mebarka Ouassaf, Shafi Ullah Khan, Mohamed Mouadh Messaoui, Nada Anede
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In silico study of possible Marburg virus VP35 inhibitors using structure based virtual screening, ADMET, stability approach via DFT and molecular dynamics simulations — Bader Y. Alhatlani, Kannan R. R. Rengasamy, et al. · Results in Chemistry (2025) | TGRS Research Map | TGRS