Screening of Clinically Approved and Investigation Drugs as Potential Inhibitors of SARS-CoV-2: A Combined in silico and in vitro Study

Serdar Durdagi*, Muge Didem Orhan, Busecan Aksoydan, Seyma Calis, Berna Dogan, Kader Sahin, Aida Shahraki, Necla Birgül Iyison, Timucin Avsar*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

In the current study, we used 7922 FDA approved small molecule drugs as well as compounds in clinical investigation from NIH's NPC database in our drug repurposing study. SARS-CoV-2 main protease as well as Spike protein/ACE2 targets were used in virtual screening and top-100 compounds from each docking simulations were considered initially in short molecular dynamics (MD) simulations and their average binding energies were calculated by MM/GBSA method. Promising hit compounds selected based on average MM/GBSA scores were then used in long MD simulations. Based on these numerical calculations following compounds were found as hit inhibitors for the SARS-CoV-2 main protease: Pinokalant, terlakiren, ritonavir, cefotiam, telinavir, rotigaptide, and cefpiramide. In addition, following 3 compounds were identified as inhibitors for Spike/ACE2: Denopamine, bometolol, and rotigaptide. In order to verify the predictions of in silico analyses, 4 compounds (ritonavir, rotigaptide, cefotiam, and cefpiramide) for the main protease and 2 compounds (rotigaptide and denopamine) for the Spike/ACE2 interactions were tested by in vitro experiments. While the concentration-dependent inhibition of the ritonavir, rotigaptide, and cefotiam was observed for the main protease; denopamine was effective at the inhibition of Spike/ACE2 binding.

Original languageEnglish
Article number2100062
JournalMolecular Informatics
Volume41
Issue number2
DOIs
Publication statusPublished - Feb 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021 Wiley-VCH GmbH

Funding

This study was funded by Scientific Research Projects Commission of Bahçeşehir University. Project number: BAU.BAP.2020.01. This study was also funded by the The Scientific and Technological Research Council of Turkey (TÜBİTAK), within the program number of 18AG003. The numerical calculations reported in this paper were partially performed at TUBITAK ULAKBIM, High Performance and Grid Computing Center (TRUBA resources). This study was funded by Scientific Research Projects Commission of Bahçeşehir University. Project number: BAU.BAP.2020.01. This study was also funded by the The Scientific and Technological Research Council of Turkey (TÜBİTAK), within the program number of 18AG003. The numerical calculations reported in this paper were partially performed at TUBITAK ULAKBIM, High Performance and Grid Computing Center (TRUBA resources).

FundersFunder number
Scientific Research Projects Commission of Bahçeşehir UniversityBAU.BAP.2020.01
TUBITAK ULAKBIM
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu18AG003

    Keywords

    • COVID19
    • MD simulations
    • SARS-CoV-2
    • Spike/ACE-2
    • docking
    • drug repurposing
    • main protease
    • virtual screening

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