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In silico structural elucidation of RNA-dependent RNA polymerase towards the identification of potential Crimean-Congo Hemorrhagic Fever Virus inhibitors

في التوضيح الهيكلي السيليكي لبوليميراز الحمض النووي الريبي المعتمد على الحمض النووي الريبي نحو تحديد مثبطات فيروس الحمى النزفية المحتملة في القرم والكونغو
Authors: Muhammad Usman Mirza; Michiel Vanmeert; Matheus Froeyen; Amjad Ali; Shazia Rafique; Muhammad Idrees;

In silico structural elucidation of RNA-dependent RNA polymerase towards the identification of potential Crimean-Congo Hemorrhagic Fever Virus inhibitors

Abstract

AbstractThe Crimean-Congo Hemorrhagic Fever virus (CCHFV) is a segmented negative single-stranded RNA virus (−ssRNA) which causes severe hemorrhagic fever in humans with a mortality rate of ~50%. To date, no vaccine has been approved. Treatment is limited to supportive care with few investigational drugs in practice. Previous studies have identified viral RNA dependent RNA Polymerase (RdRp) as a potential drug target due to its significant role in viral replication and transcription. Since no crystal structure is available yet, we report the structural elucidation of CCHFV-RdRp by in-depth homology modeling. Even with low sequence identity, the generated model suggests a similar overall structure as previously reported RdRps. More specifically, the model suggests the presence of structural/functional conserved RdRp motifs for polymerase function, the configuration of uniform spatial arrangement of core RdRp sub-domains, and predicted positively charged entry/exit tunnels, as seen in sNSV polymerases. Extensive pharmacophore modeling based on per-residue energy contribution with investigational drugs allowed the concise mapping of pharmacophoric features and identified potential hits. The combination of pharmacophoric features with interaction energy analysis revealed functionally important residues in the conserved motifs together with in silico predicted common inhibitory binding modes with highly potent reference compounds.

Country
Belgium
Keywords

Models, Molecular, Viral RNA Silencing, Molecular Conformation, HOMOLOGY MODELS, Plant Science, FOS: Health sciences, Virus Replication, RNA-dependent RNA polymerase, Biochemistry, Gene, Agricultural and Biological Sciences, Computational biology, Catalytic Domain, Drug Discovery, Amino Acids, PROTEIN-STRUCTURE PREDICTIONS, Molecular Structure, Ebola Virus Research and Outbreaks, Life Sciences, ANTIVIRAL ACTIVITY, Homology modeling, FREE-ENERGY, MOLECULAR-DYNAMICS SIMULATION, Multidisciplinary Sciences, Infectious Diseases, RNA polymerase, WEB SERVER, Hemorrhagic Fever Virus, Crimean-Congo, Science & Technology - Other Topics, Medicine, Viral Hemorrhagic Fevers and Zoonotic Infections, Polymerase, Protein Binding, Virtual screening, INFLUENZA-A VIRUS, DRUG-RESISTANCE MECHANISM, BINDING-SITES, Antiviral Agents, Article, Structure-Activity Relationship, Virology, Health Sciences, Genetics, Humans, SCREENING LIBRARIES, Biology, Science & Technology, Binding Sites, Pharmacophore, In silico, RNA-Dependent RNA Polymerase, Enzyme, FOS: Biological sciences, Viral RNA Silencing and Plant Immunity, RNA, Crimean-Congo Hemorrhagic Fever

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
32
Top 10%
Top 10%
Top 10%
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