Evaluation of potential anti-RNA-dependent RNA polymerase (RdRP) drugs against the newly emerged model of COVID-19 RdRP using computational methods

Poustforoosh A., Hashemipour H., TÜZÜN B., Pardakhty A., Mehrabani M., Nematollahi M. H.

BIOPHYSICAL CHEMISTRY, cilt.272, 2021 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 272
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1016/j.bpc.2021.106564
  • Dergi Adı: BIOPHYSICAL CHEMISTRY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, Biotechnology Research Abstracts, CAB Abstracts, Chemical Abstracts Core, Chimica, EMBASE, MEDLINE, Veterinary Science Database
  • Anahtar Kelimeler: Antiviral drug, 7BZF, Idarubicin, Molecular docking, In silico methods, ZIKA VIRUS, BINDING, IDARUBICIN, CORONAVIRUSES, INHIBITION, ANTIVIRALS, DISCOVERY, INFECTION, INSIGHTS, FUTURE
  • Sivas Cumhuriyet Üniversitesi Adresli: Evet

Özet

Introduction: Despite all the efforts to treat COVID-19, no particular cure has been found for this virus. Since developing antiviral drugs is a time-consuming process, the most effective approach is to evaluate the approved and under investigation drugs using in silico methods. Among the different targets within the virus structure, as a vital component in the life cycle of coronaviruses, RNA-dependent RNA polymerase (RdRP) can be a critical target for antiviral drugs. The impact of the existence of RNA in the enzyme structure on the binding affinity of anti-RdRP drugs has not been investigated so far.