Finding lead compounds for dengue antivirals from a collection of old drugs through in silico target prediction and subsequent in vitro validation.

Dengue virus (DENV) infection is one of the most widely spread flavivirus infections. Despite the fatality it could cause, no antiviral treatment is currently available to treat the disease. Hence, this study aimed to repurpose old drugs as novel DENV NS3 inhibitors. Ligand-based (L-B) and proteoche...

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Main Authors: Abdullah, Zafirah Liyana, Chee, Hui-Yee, Yusof, Rohana, Mohd Fauzi, Fazlin
Format: Article
Published: American Chemical Society (ACS) 2023
Online Access:http://psasir.upm.edu.my/id/eprint/108009/
https://pubs.acs.org/doi/suppl/10.1021/acsomega.3c02607/suppl_file/ao3c02607_si_001.pdf
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spelling my.upm.eprints.1080092024-09-26T04:17:54Z http://psasir.upm.edu.my/id/eprint/108009/ Finding lead compounds for dengue antivirals from a collection of old drugs through in silico target prediction and subsequent in vitro validation. Abdullah, Zafirah Liyana Chee, Hui-Yee Yusof, Rohana Mohd Fauzi, Fazlin Dengue virus (DENV) infection is one of the most widely spread flavivirus infections. Despite the fatality it could cause, no antiviral treatment is currently available to treat the disease. Hence, this study aimed to repurpose old drugs as novel DENV NS3 inhibitors. Ligand-based (L-B) and proteochemometric (PCM) prediction models were built using 62,354 bioactivity data to screen for potential NS3 inhibitors. Selected drugs were then subjected to the foci forming unit reduction assay (FFURA) and protease inhibition assay. Finally, molecular docking was performed to validate these results. The in silico studies revealed that both models performed well in the internal and external validations. However, the L-B model showed better accuracy in the external validation in terms of its sensitivity (0.671). In the in vitro validation, all drugs (zileuton, trimethadione, and linalool) were able to moderately inhibit the viral activities at the highest concentration tested. Zileuton showed comparable results with linalool when tested at 2 mM against the DENV NS3 protease, with a reduction of protease activity at 17.89 and 18.42%, respectively. Two new compounds were also proposed through the combination of the selected drugs, which are ziltri (zilueton + trimethadione) and zilool (zileuton + linalool). The molecular docking study confirms the in vitro observations where all drugs and proposed compounds were able to achieve binding affinity ≥ −4.1 kcal/mol, with ziltri showing the highest affinity at −7.7 kcal/mol, surpassing the control, panduratin A. The occupation of both S1 and S2 subpockets of NS2B-NS3 may be essential and a reason for the lower binding energy shown by the proposed compounds compared to the screened drugs. Based on the results, this study provided five potential new lead compounds (ziltri, zilool, zileuton, linalool, and trimethadione) for DENV that could be modified further. American Chemical Society (ACS) 2023 Article PeerReviewed Abdullah, Zafirah Liyana and Chee, Hui-Yee and Yusof, Rohana and Mohd Fauzi, Fazlin (2023) Finding lead compounds for dengue antivirals from a collection of old drugs through in silico target prediction and subsequent in vitro validation. ACS Omega, 8 (36). 32483 -32497. ISSN 2470-1343 https://pubs.acs.org/doi/suppl/10.1021/acsomega.3c02607/suppl_file/ao3c02607_si_001.pdf 10.1021/acsomega.3c02607.s001
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description Dengue virus (DENV) infection is one of the most widely spread flavivirus infections. Despite the fatality it could cause, no antiviral treatment is currently available to treat the disease. Hence, this study aimed to repurpose old drugs as novel DENV NS3 inhibitors. Ligand-based (L-B) and proteochemometric (PCM) prediction models were built using 62,354 bioactivity data to screen for potential NS3 inhibitors. Selected drugs were then subjected to the foci forming unit reduction assay (FFURA) and protease inhibition assay. Finally, molecular docking was performed to validate these results. The in silico studies revealed that both models performed well in the internal and external validations. However, the L-B model showed better accuracy in the external validation in terms of its sensitivity (0.671). In the in vitro validation, all drugs (zileuton, trimethadione, and linalool) were able to moderately inhibit the viral activities at the highest concentration tested. Zileuton showed comparable results with linalool when tested at 2 mM against the DENV NS3 protease, with a reduction of protease activity at 17.89 and 18.42%, respectively. Two new compounds were also proposed through the combination of the selected drugs, which are ziltri (zilueton + trimethadione) and zilool (zileuton + linalool). The molecular docking study confirms the in vitro observations where all drugs and proposed compounds were able to achieve binding affinity ≥ −4.1 kcal/mol, with ziltri showing the highest affinity at −7.7 kcal/mol, surpassing the control, panduratin A. The occupation of both S1 and S2 subpockets of NS2B-NS3 may be essential and a reason for the lower binding energy shown by the proposed compounds compared to the screened drugs. Based on the results, this study provided five potential new lead compounds (ziltri, zilool, zileuton, linalool, and trimethadione) for DENV that could be modified further.
format Article
author Abdullah, Zafirah Liyana
Chee, Hui-Yee
Yusof, Rohana
Mohd Fauzi, Fazlin
spellingShingle Abdullah, Zafirah Liyana
Chee, Hui-Yee
Yusof, Rohana
Mohd Fauzi, Fazlin
Finding lead compounds for dengue antivirals from a collection of old drugs through in silico target prediction and subsequent in vitro validation.
author_facet Abdullah, Zafirah Liyana
Chee, Hui-Yee
Yusof, Rohana
Mohd Fauzi, Fazlin
author_sort Abdullah, Zafirah Liyana
title Finding lead compounds for dengue antivirals from a collection of old drugs through in silico target prediction and subsequent in vitro validation.
title_short Finding lead compounds for dengue antivirals from a collection of old drugs through in silico target prediction and subsequent in vitro validation.
title_full Finding lead compounds for dengue antivirals from a collection of old drugs through in silico target prediction and subsequent in vitro validation.
title_fullStr Finding lead compounds for dengue antivirals from a collection of old drugs through in silico target prediction and subsequent in vitro validation.
title_full_unstemmed Finding lead compounds for dengue antivirals from a collection of old drugs through in silico target prediction and subsequent in vitro validation.
title_sort finding lead compounds for dengue antivirals from a collection of old drugs through in silico target prediction and subsequent in vitro validation.
publisher American Chemical Society (ACS)
publishDate 2023
url http://psasir.upm.edu.my/id/eprint/108009/
https://pubs.acs.org/doi/suppl/10.1021/acsomega.3c02607/suppl_file/ao3c02607_si_001.pdf
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