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Toward the Identification of Natural Antiviral Drug Candidates against Merkel Cell Polyomavirus: Computational Drug Design Approaches

Merkel cell carcinoma (MCC) is a rare form of aggressive skin cancer mainly caused by Merkel cell polyomavirus (MCPyV). Most MCC tumors express MCPyV large T (LT) antigens and play an important role in the growth-promoting activities of oncoproteins. Truncated LT promotes tumorigenicity as well as h...

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Autores principales: Asseri, Amer H., Alam, Md. Jahidul, Alzahrani, Faisal, Khames, Ahmed, Pathan, Mohammad Turhan, Abourehab, Mohammed A. S., Hosawi, Salman, Ahmed, Rubaiat, Sultana, Sifat Ara, Alam, Nazia Fairooz, Alam, Nafee-Ul, Alam, Rahat, Samad, Abdus, Pokhrel, Sushil, Kim, Jin Kyu, Ahammad, Foysal, Kim, Bonglee, Tan, Shing Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9146542/
https://www.ncbi.nlm.nih.gov/pubmed/35631328
http://dx.doi.org/10.3390/ph15050501
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author Asseri, Amer H.
Alam, Md. Jahidul
Alzahrani, Faisal
Khames, Ahmed
Pathan, Mohammad Turhan
Abourehab, Mohammed A. S.
Hosawi, Salman
Ahmed, Rubaiat
Sultana, Sifat Ara
Alam, Nazia Fairooz
Alam, Nafee-Ul
Alam, Rahat
Samad, Abdus
Pokhrel, Sushil
Kim, Jin Kyu
Ahammad, Foysal
Kim, Bonglee
Tan, Shing Cheng
author_facet Asseri, Amer H.
Alam, Md. Jahidul
Alzahrani, Faisal
Khames, Ahmed
Pathan, Mohammad Turhan
Abourehab, Mohammed A. S.
Hosawi, Salman
Ahmed, Rubaiat
Sultana, Sifat Ara
Alam, Nazia Fairooz
Alam, Nafee-Ul
Alam, Rahat
Samad, Abdus
Pokhrel, Sushil
Kim, Jin Kyu
Ahammad, Foysal
Kim, Bonglee
Tan, Shing Cheng
author_sort Asseri, Amer H.
collection PubMed
description Merkel cell carcinoma (MCC) is a rare form of aggressive skin cancer mainly caused by Merkel cell polyomavirus (MCPyV). Most MCC tumors express MCPyV large T (LT) antigens and play an important role in the growth-promoting activities of oncoproteins. Truncated LT promotes tumorigenicity as well as host cell proliferation by activating the viral replication machinery, and inhibition of this protein in humans drastically lowers cellular growth linked to the corresponding cancer. Our study was designed with the aim of identifying small molecular-like natural antiviral candidates that are able to inhibit the proliferation of malignant tumors, especially those that are aggressive, by blocking the activity of viral LT protein. To identify potential compounds against the target protein, a computational drug design including molecular docking, ADME (absorption, distribution, metabolism, and excretion), toxicity, molecular dynamics (MD) simulation, and molecular mechanics generalized Born surface area (MM-GBSA) approaches were applied in this study. Initially, a total of 2190 phytochemicals isolated from 104 medicinal plants were screened using the molecular docking simulation method, resulting in the identification of the top five compounds having the highest binding energy, ranging between −6.5 and −7.6 kcal/mol. The effectiveness and safety of the selected compounds were evaluated based on ADME and toxicity features. A 250 ns MD simulation confirmed the stability of the selected compounds bind to the active site (AS) of the target protein. Additionally, MM-GBSA analysis was used to determine the high values of binding free energy (ΔG bind) of the compounds binding to the target protein. The five compounds identified by computational approaches, Paulownin (CID: 3084131), Actaealactone (CID: 11537736), Epigallocatechin 3-O-cinnamate (CID: 21629801), Cirsilineol (CID: 162464), and Lycoricidine (CID: 73065), can be used in therapy as lead compounds to combat MCPyV-related cancer. However, further wet laboratory investigations are required to evaluate the activity of the drugs against the virus.
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spelling pubmed-91465422022-05-29 Toward the Identification of Natural Antiviral Drug Candidates against Merkel Cell Polyomavirus: Computational Drug Design Approaches Asseri, Amer H. Alam, Md. Jahidul Alzahrani, Faisal Khames, Ahmed Pathan, Mohammad Turhan Abourehab, Mohammed A. S. Hosawi, Salman Ahmed, Rubaiat Sultana, Sifat Ara Alam, Nazia Fairooz Alam, Nafee-Ul Alam, Rahat Samad, Abdus Pokhrel, Sushil Kim, Jin Kyu Ahammad, Foysal Kim, Bonglee Tan, Shing Cheng Pharmaceuticals (Basel) Article Merkel cell carcinoma (MCC) is a rare form of aggressive skin cancer mainly caused by Merkel cell polyomavirus (MCPyV). Most MCC tumors express MCPyV large T (LT) antigens and play an important role in the growth-promoting activities of oncoproteins. Truncated LT promotes tumorigenicity as well as host cell proliferation by activating the viral replication machinery, and inhibition of this protein in humans drastically lowers cellular growth linked to the corresponding cancer. Our study was designed with the aim of identifying small molecular-like natural antiviral candidates that are able to inhibit the proliferation of malignant tumors, especially those that are aggressive, by blocking the activity of viral LT protein. To identify potential compounds against the target protein, a computational drug design including molecular docking, ADME (absorption, distribution, metabolism, and excretion), toxicity, molecular dynamics (MD) simulation, and molecular mechanics generalized Born surface area (MM-GBSA) approaches were applied in this study. Initially, a total of 2190 phytochemicals isolated from 104 medicinal plants were screened using the molecular docking simulation method, resulting in the identification of the top five compounds having the highest binding energy, ranging between −6.5 and −7.6 kcal/mol. The effectiveness and safety of the selected compounds were evaluated based on ADME and toxicity features. A 250 ns MD simulation confirmed the stability of the selected compounds bind to the active site (AS) of the target protein. Additionally, MM-GBSA analysis was used to determine the high values of binding free energy (ΔG bind) of the compounds binding to the target protein. The five compounds identified by computational approaches, Paulownin (CID: 3084131), Actaealactone (CID: 11537736), Epigallocatechin 3-O-cinnamate (CID: 21629801), Cirsilineol (CID: 162464), and Lycoricidine (CID: 73065), can be used in therapy as lead compounds to combat MCPyV-related cancer. However, further wet laboratory investigations are required to evaluate the activity of the drugs against the virus. MDPI 2022-04-20 /pmc/articles/PMC9146542/ /pubmed/35631328 http://dx.doi.org/10.3390/ph15050501 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Asseri, Amer H.
Alam, Md. Jahidul
Alzahrani, Faisal
Khames, Ahmed
Pathan, Mohammad Turhan
Abourehab, Mohammed A. S.
Hosawi, Salman
Ahmed, Rubaiat
Sultana, Sifat Ara
Alam, Nazia Fairooz
Alam, Nafee-Ul
Alam, Rahat
Samad, Abdus
Pokhrel, Sushil
Kim, Jin Kyu
Ahammad, Foysal
Kim, Bonglee
Tan, Shing Cheng
Toward the Identification of Natural Antiviral Drug Candidates against Merkel Cell Polyomavirus: Computational Drug Design Approaches
title Toward the Identification of Natural Antiviral Drug Candidates against Merkel Cell Polyomavirus: Computational Drug Design Approaches
title_full Toward the Identification of Natural Antiviral Drug Candidates against Merkel Cell Polyomavirus: Computational Drug Design Approaches
title_fullStr Toward the Identification of Natural Antiviral Drug Candidates against Merkel Cell Polyomavirus: Computational Drug Design Approaches
title_full_unstemmed Toward the Identification of Natural Antiviral Drug Candidates against Merkel Cell Polyomavirus: Computational Drug Design Approaches
title_short Toward the Identification of Natural Antiviral Drug Candidates against Merkel Cell Polyomavirus: Computational Drug Design Approaches
title_sort toward the identification of natural antiviral drug candidates against merkel cell polyomavirus: computational drug design approaches
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9146542/
https://www.ncbi.nlm.nih.gov/pubmed/35631328
http://dx.doi.org/10.3390/ph15050501
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