1
|
Anjani, Kumar S, Rathi B, Poonam. Recent updates on the biological efficacy of approved drugs and potent synthetic compounds against SARS-CoV-2. RSC Adv 2023; 13:3677-3687. [PMID: 36756584 PMCID: PMC9890797 DOI: 10.1039/d2ra06834f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Accepted: 01/16/2023] [Indexed: 01/27/2023] Open
Abstract
The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), also known as COVID-19, has triggered a global pandemic that has prompted severe public health concerns. Researchers worldwide are continuously trying to find options that could be effective against COVID-19. The main focus of research during the initial phase of the pandemic was to use the already approved drugs as supportive care, and efforts were made to find new therapeutic options. Nirmatrelvir (PF-07321332), a Pfizer chemical, recently received approval for usage in conjunction with ritonavir. This mini-review summarises the biological effectiveness of vital synthetic compounds and FDA-approved medications against SARS-CoV-2. Understanding how functional groups are included in the creation of synthetic compounds could help enhance the biological activity profile of those compounds to increase their efficacy against SARS-CoV-2. This opened the way for researchers to explore opportunities to develop better therapeutics by investigating synthetic analogs.
Collapse
Affiliation(s)
- Anjani
- Department of Chemistry, Chaudhary Charan Singh Haryana Agricultural UniversityHisarHaryana-125004India
| | - Sumit Kumar
- Department of Chemistry, Miranda House, University of Delhi Delhi-110007 India
| | - Brijesh Rathi
- Laboratory for Translational Chemistry and Drug Discovery, Hansraj College, University of DelhiDelhi-110007India,Delhi School of Public Health, Institute of Eminence, University of DelhiDelhi-110007India
| | - Poonam
- Department of Chemistry, Miranda House, University of DelhiDelhi-110007India,Delhi School of Public Health, Institute of Eminence, University of DelhiDelhi-110007India
| |
Collapse
|
2
|
Najafabadi ZY, Fanuel S, Falak R, Kaboli S, Kardar GA. The Trend of CRISPR-Based Technologies in COVID-19 Disease: Beyond Genome Editing. Mol Biotechnol 2023; 65:146-161. [PMID: 35091986 PMCID: PMC8799426 DOI: 10.1007/s12033-021-00431-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 11/22/2021] [Indexed: 02/07/2023]
Abstract
Biotechnological approaches have always sought to utilize novel and efficient methods in the prevention, diagnosis, and treatment of diseases. This science has consistently tried to revolutionize medical science by employing state-of-the-art technologies in genomic and proteomic engineering. CRISPR-Cas system is one of the emerging techniques in the field of biotechnology. To date, the CRISPR-Cas system has been extensively applied in gene editing, targeting genomic sequences for diagnosis, treatment of diseases through genomic manipulation, and in creating animal models for preclinical researches. With the emergence of the COVID-19 pandemic in 2019, there is need for the development and modification of novel tools such as the CRISPR-Cas system for use in diagnostic emergencies. This system can compete with other existing biotechnological methods in accuracy, precision, and wide performance that could guarantee its future in these conditions. In this article, we review the various platforms of the CRISPR-Cas system meant for SARS-CoV-2 diagnosis, anti-viral therapeutic procedures, producing animal models for preclinical studies, and genome-wide screening studies toward drug and vaccine development.
Collapse
Affiliation(s)
- Zeinab Yousefi Najafabadi
- Department of Medical Biotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Immunology, Asthma Allergy Research Institute (IAARI), Tehran University of Medical Sciences, Tehran, Iran
- Department of Immunology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Songwe Fanuel
- Department of Applied Biosciences and Biotechnology, Faculty of Science and Technology, Midlands State University (MSU), Gweru, Zimbabwe
| | - Reza Falak
- Department of Immunology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Saeed Kaboli
- Department of Medical Biotechnology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Gholam Ali Kardar
- Department of Medical Biotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Immunology, Asthma Allergy Research Institute (IAARI), Tehran University of Medical Sciences, Tehran, Iran
| |
Collapse
|
3
|
Algar‐Lizana S, Bonache MÁ, González‐Muñiz R. SARS-CoV-2 main protease inhibitors: What is moving in the field of peptides and peptidomimetics? J Pept Sci 2022; 29:e3467. [PMID: 36479966 PMCID: PMC9877768 DOI: 10.1002/psc.3467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 12/04/2022] [Accepted: 12/05/2022] [Indexed: 12/13/2022]
Abstract
The COVID-19 pandemic, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is still affecting people worldwide. Despite the good degree of immunological protection achieved through vaccination, there are still severe cases that require effective antivirals. In this sense, two specific pharmaceutical preparations have been marketed already, the RdRp polymerase inhibitor molnupiravir and the main viral protease inhibitor nirmatrelvir (commercialized as Paxlovid, a combination with ritonavir). Nirmatrelvir is a peptidomimetic acting as orally available, covalent, and reversible inhibitor of SARS-CoV-2 main viral protease. The success of this compound has revitalized the search for new peptide and peptidomimetic protease inhibitors. This highlight collects some selected examples among those recently published in the field of SARS-CoV-2.
Collapse
|
4
|
Kairov U, Amanzhanova A, Karabayev D, Rakhimova S, Aitkulova A, Samatkyzy D, Kalendar R, Kozhamkulov U, Molkenov A, Gabdulkayum A, Sarbassov D, Akilzhanova A. A high scale SARS-CoV-2 profiling by its whole-genome sequencing using Oxford Nanopore Technology in Kazakhstan. Front Genet 2022; 13:906318. [PMID: 36118859 PMCID: PMC9479076 DOI: 10.3389/fgene.2022.906318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 07/25/2022] [Indexed: 11/16/2022] Open
Abstract
Severe acute respiratory syndrome (SARS-CoV-2) is responsible for the worldwide pandemic, COVID-19. The original viral whole-genome was sequenced by a high-throughput sequencing approach from the samples obtained from Wuhan, China. Real-time gene sequencing is the main parameter to manage viral outbreaks because it expands our understanding of virus proliferation, spread, and evolution. Whole-genome sequencing is critical for SARS-CoV-2 variant surveillance, the development of new vaccines and boosters, and the representation of epidemiological situations in the country. A significant increase in the number of COVID-19 cases confirmed in August 2021 in Kazakhstan facilitated a need to establish an effective and proficient system for further study of SARS-CoV-2 genetic variants and the development of future Kazakhstan’s genomic surveillance program. The SARS-CoV-2 whole-genome was sequenced according to SARS-CoV-2 ARTIC protocol (EXP-MRT001) by Oxford Nanopore Technologies at the National Laboratory Astana, Kazakhstan to track viral variants circulating in the country. The 500 samples kindly provided by the Republican Diagnostic Center (UMC-NU) and private laboratory KDL “Olymp” were collected from individuals in Nur-Sultan city diagnosed with COVID-19 from August 2021 to May 2022 using real-time reverse transcription-quantitative polymerase chain reaction (RT-qPCR). All samples had a cycle threshold (Ct) value below 20 with an average Ct value of 17.03. The overall average value of sequencing depth coverage for samples is 244X. 341 whole-genome sequences that passed quality control were deposited in the Global initiative on sharing all influenza data (GISAID). The BA.1.1 (n = 189), BA.1 (n = 15), BA.2 (n = 3), BA.1.15 (n = 1), BA.1.17.2 (n = 1) omicron lineages, AY.122 (n = 119), B.1.617.2 (n = 8), AY.111 (n = 2), AY.126 (n = 1), AY.4 (n = 1) delta lineages, one sample B.1.1.7 (n = 1) belongs to alpha lineage, and one sample B.1.637 (n = 1) belongs to small sublineage were detected in this study. This is the first study of SARS-CoV-2 whole-genome sequencing by the ONT approach in Kazakhstan, which can be expanded for the investigation of other emerging viral or bacterial infections on the country level.
Collapse
Affiliation(s)
- Ulykbek Kairov
- Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan
- *Correspondence: Ulykbek Kairov, ; Ainur Akilzhanova,
| | - Amina Amanzhanova
- Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Daniyar Karabayev
- Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Saule Rakhimova
- Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Akbota Aitkulova
- School of Sciences and Humanities, Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Diana Samatkyzy
- Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Ruslan Kalendar
- Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Ulan Kozhamkulov
- Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Askhat Molkenov
- Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Aidana Gabdulkayum
- Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Dos Sarbassov
- Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan
- School of Sciences and Humanities, Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Ainur Akilzhanova
- Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan
- *Correspondence: Ulykbek Kairov, ; Ainur Akilzhanova,
| |
Collapse
|
5
|
Ansari WA, Ahamad T, Khan MA, Khan ZA, Khan MF. Exploration of Luteolin as Potential Anti-COVID-19 Agent: Molecular
Docking, Molecular Dynamic Simulation, ADMET and DFT Analysis. LETT DRUG DES DISCOV 2022. [DOI: 10.2174/1570180819666211222151725] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Background:
Coronavirus disease-2019 (COVID-19) has recently emerged as a pandemic
respiratory disease with mild to severe pneumonia symptoms. No clinical antiviral agent is available so
far. However, several repurposing drugs and vaccines are being given to individuals or in clinical trials
against SARS-CoV-2
Objective:
The aim of this study is to uncover the potential effects of Luteolin (Lut) as an inhibitor of
SARS-CoV2 encoded proteins via utilizing computational tools.
Method:
Molecular modelling to unfold the anti-SARS-CoV2 potential of Lut along with reference
drugs namely remdesivir and nafamostat was performed by the use of molecular docking, molecular dynamic
(MD) simulation, absorption, distribution, metabolism, excretion, toxicity (ADMET) and density
functional theory (DFT) methods against the five different SARS-CoV-2 encoded key proteins and one
human receptor protein. The chemical reactivity of Luteolin is done through prediction of HOMO-LUMO
gap energy and other chemical descriptors analysis.
Results:
In the present study, Lut binds effectively in the binding pockets of spike glycoprotein (6VSB),
ADP phosphatase of NSP3 (6W02), and RNA dependent RNA polymerase (7AAP) protein receptors with
significant values of docking scores -7.00, -7.25, and -6.46 respectively as compared to reference drugs
remdesivir and nafamostat.
Conclusion::
Thus, Lut can act as a therapeutic agent and is orally safe for human consumption as predicted
by molecular modelling against SARS-CoV-2 in the treatment of COVID-19.
Collapse
Affiliation(s)
- Waseem Ahmad Ansari
- Department of Biotechnology, Era’s Lucknow Medical College & Hospital, Era University, Lucknow 226003, UP,
India
| | - Tanveer Ahamad
- Department of Biotechnology, Era’s Lucknow Medical College & Hospital, Era University, Lucknow 226003, UP,
India
| | - Mohsin Ali Khan
- Department of Biotechnology, Era’s Lucknow Medical College & Hospital, Era University, Lucknow 226003, UP,
India
| | - Zaw Ali Khan
- Department of Biotechnology, Era’s Lucknow Medical College & Hospital, Era University, Lucknow 226003, UP,
India
| | - Mohammad Faheem Khan
- Department of Biotechnology, Era’s Lucknow Medical College & Hospital, Era University, Lucknow 226003, UP,
India
| |
Collapse
|
6
|
Saravanan KA, Panigrahi M, Kumar H, Rajawat D, Nayak SS, Bhushan B, Dutt T. Role of genomics in combating COVID-19 pandemic. Gene 2022; 823:146387. [PMID: 35248659 PMCID: PMC8894692 DOI: 10.1016/j.gene.2022.146387] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 02/17/2022] [Accepted: 02/28/2022] [Indexed: 12/20/2022]
Abstract
The coronavirus disease 2019 (COVID-19) quickly swept over the world, becoming one of the most devastating outbreaks in human history. Being the first pandemic in the post-genomic era, advancements in genomics contributed significantly to scientific understanding and public health response to COVID-19. Genomic technologies have been employed by researchers all over the world to better understand the biology of SARS-CoV-2 and its origin, genomic diversity, and evolution. Worldwide genomic resources have greatly aided in the investigation of the COVID-19 pandemic. The pandemic has ushered in a new era of genomic surveillance, wherein scientists are tracking the changes of the SARS-CoV-2 genome in real-time at the international and national levels. Availability of genomic and proteomic information enables the rapid development of molecular diagnostics and therapeutics. The advent of high-throughput sequencing and genome editing technologies led to the development of modern vaccines. We briefly discuss the impact of genomics in the ongoing COVID-19 pandemic in this review.
Collapse
Affiliation(s)
- K A Saravanan
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Manjit Panigrahi
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India.
| | - Harshit Kumar
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Divya Rajawat
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Sonali Sonejita Nayak
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Bharat Bhushan
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Triveni Dutt
- Livestock Production and Management Section, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| |
Collapse
|
7
|
High predictive QSAR models for predicting the SARS coronavirus main protease inhibition activity of ketone-based covalent inhibitors. JOURNAL OF THE IRANIAN CHEMICAL SOCIETY 2022. [PMCID: PMC8547569 DOI: 10.1007/s13738-021-02426-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
In this research, a dataset including 29 ketone-based covalent inhibitors with SARS-CoV-1 3CLpro inhibition activity was used to develop high predictive QSAR models. Twenty-two molecules were put in train set and seven molecules in test set. By using stepwise MLR method for molecules in train set, four molecular descriptors including Mor26p, Hy, GATS7p and Mor04v were selected to build QSAR models. MLR and ANN methods were used to create QSAR models for predicting the activity of molecules in both train and test sets. Both QSAR models were validated by calculating several statistical parameters. R2 values for the test set of MLR and ANN models were 0.93 and 0.95, respectively, and RMSE values for their test sets were 0.24 and 0.17, respectively. Other calculated statistical parameters (especially \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$Q_{F3}^{2}$$\end{document}QF32 parameter) show that created ANN model has more predictive power with respect to developed MLR model (with four descriptor). Calculated leverages for all molecules show that predicted pIC50 (by both QSAR models) for all molecules is acceptable, and drawn residuals plots show that there is no systematic error in building both QSAR modes. Also, based on developed MLR model, used molecular descriptors were interpreted.
Collapse
|
8
|
Bhattacharya M, Chatterjee S, Sharma AR, Agoramoorthy G, Chakraborty C. D614G mutation and SARS-CoV-2: impact on S-protein structure, function, infectivity, and immunity. Appl Microbiol Biotechnol 2021; 105:9035-9045. [PMID: 34755213 PMCID: PMC8578012 DOI: 10.1007/s00253-021-11676-2] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 11/01/2021] [Accepted: 11/01/2021] [Indexed: 12/23/2022]
Abstract
The progression of the COVID-19 pandemic has generated numerous emerging variants of SARS-CoV-2 on a global scale. These variants have gained evolutionary advantages, comprising high virulence and serious infectivity due to multiple spike glycoprotein mutations. As a reason, variants are demonstrating significant abilities to escape the immune responses of the host. The D614G mutation in the S-glycoprotein of SARS-CoV-2 variants has shown the most efficient interaction with the ACE2 receptor of the cells. This explicit mutation at amino acid position 614 (aspartic acid-to-glycine substitution) is the prime cause of infection and re-infection. It changes the conformation of RBD and cleavage patterns S-glycoprotein with higher stability, replication fitness, and fusion efficiencies. Therefore, this review aims to provide several crucial pieces of information associated with the D614 mutational occurrence of SARS-CoV-2 variants and their infectivity patterns. This review will also effectively emphasize the mechanism of action of D614G mutant variants, immune escape, and partial vaccine escape of this virus. Furthermore, the viral characteristic changes leading to the current global pandemic condition have been highlighted. Here, we have tried to illustrate a novel direction for future researchers to develop effective therapeutic approaches and counterweight strategies to minimize the spread of COVID-19.Key points• D614G mutation arises within the S-glycoprotein of significant SARS-CoV-2 variants.• The D614G mutation affects infection, re-infection, cleavage patterns of S-glycoprotein, and replication fitness of SARS-CoV-2 variants.• The D614G mutation influences the immunity and partial vaccine escape.
Collapse
Affiliation(s)
- Manojit Bhattacharya
- Department of Zoology, Fakir Mohan University, Vyasa Vihar, Balasore, 756020, Odisha, India
| | - Srijan Chatterjee
- Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Barasat-Barrackpore Rd, Kolkata, West Bengal, 700126, India
| | - Ashish Ranjan Sharma
- Institute for Skeletal Aging and Orthopaedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-si, 24252, Gangwon-do, Republic of Korea
| | | | - Chiranjib Chakraborty
- Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Barasat-Barrackpore Rd, Kolkata, West Bengal, 700126, India.
| |
Collapse
|
9
|
Harigua-Souiai E, Heinhane MM, Abdelkrim YZ, Souiai O, Abdeljaoued-Tej I, Guizani I. Deep Learning Algorithms Achieved Satisfactory Predictions When Trained on a Novel Collection of Anticoronavirus Molecules. Front Genet 2021; 12:744170. [PMID: 34912370 PMCID: PMC8667578 DOI: 10.3389/fgene.2021.744170] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 09/30/2021] [Indexed: 12/26/2022] Open
Abstract
Drug discovery and repurposing against COVID-19 is a highly relevant topic with huge efforts dedicated to delivering novel therapeutics targeting SARS-CoV-2. In this context, computer-aided drug discovery is of interest in orienting the early high throughput screenings and in optimizing the hit identification rate. We herein propose a pipeline for Ligand-Based Drug Discovery (LBDD) against SARS-CoV-2. Through an extensive search of the literature and multiple steps of filtering, we integrated information on 2,610 molecules having a validated effect against SARS-CoV and/or SARS-CoV-2. The chemical structures of these molecules were encoded through multiple systems to be readily useful as input to conventional machine learning (ML) algorithms or deep learning (DL) architectures. We assessed the performances of seven ML algorithms and four DL algorithms in achieving molecule classification into two classes: active and inactive. The Random Forests (RF), Graph Convolutional Network (GCN), and Directed Acyclic Graph (DAG) models achieved the best performances. These models were further optimized through hyperparameter tuning and achieved ROC-AUC scores through cross-validation of 85, 83, and 79% for RF, GCN, and DAG models, respectively. An external validation step on the FDA-approved drugs collection revealed a superior potential of DL algorithms to achieve drug repurposing against SARS-CoV-2 based on the dataset herein presented. Namely, GCN and DAG achieved more than 50% of the true positive rate assessed on the confirmed hits of a PubChem bioassay.
Collapse
Affiliation(s)
- Emna Harigua-Souiai
- Laboratory of Molecular Epidemiology and Experimental Pathology-LR16IPT04, Institut Pasteur de Tunis, Université de Tunis El Manar, Tunis, Tunisia
| | - Mohamed Mahmoud Heinhane
- Laboratory of Molecular Epidemiology and Experimental Pathology-LR16IPT04, Institut Pasteur de Tunis, Université de Tunis El Manar, Tunis, Tunisia
| | - Yosser Zina Abdelkrim
- Laboratory of Molecular Epidemiology and Experimental Pathology-LR16IPT04, Institut Pasteur de Tunis, Université de Tunis El Manar, Tunis, Tunisia
| | - Oussama Souiai
- Laboratory of BioInformatics BioMathematics and BioStatistics (BIMS)-LR20IPT09, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Ines Abdeljaoued-Tej
- Laboratory of BioInformatics BioMathematics and BioStatistics (BIMS)-LR20IPT09, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia
- Engineering School of Statistics and Information Analysis, University of Carthage, Ariana, Tunisia
| | - Ikram Guizani
- Laboratory of Molecular Epidemiology and Experimental Pathology-LR16IPT04, Institut Pasteur de Tunis, Université de Tunis El Manar, Tunis, Tunisia
| |
Collapse
|
10
|
Sahoo A, Fuloria S, Swain SS, Panda SK, Sekar M, Subramaniyan V, Panda M, Jena AK, Sathasivam KV, Fuloria NK. Potential of Marine Terpenoids against SARS-CoV-2: An In Silico Drug Development Approach. Biomedicines 2021; 9:biomedicines9111505. [PMID: 34829734 PMCID: PMC8614725 DOI: 10.3390/biomedicines9111505] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 10/17/2021] [Accepted: 10/17/2021] [Indexed: 12/11/2022] Open
Abstract
In an emergency, drug repurposing is the best alternative option against newly emerged severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection. However, several bioactive natural products have shown potential against SARS-CoV-2 in recent studies. The present study selected sixty-eight broad-spectrum antiviral marine terpenoids and performed molecular docking against two novel SARS-CoV-2 enzymes (main protease or Mpro or 3CLpro) and RNA-dependent RNA polymerase (RdRp). In addition, the present study analysed the physiochemical-toxicity-pharmacokinetic profile, structural activity relationship, and phylogenetic tree with various computational tools to select the 'lead' candidate. The genomic diversity study with multiple sequence analyses and phylogenetic tree confirmed that the newly emerged SARS-CoV-2 strain was up to 96% structurally similar to existing CoV-strains. Furthermore, the anti-SARS-CoV-2 potency based on a protein-ligand docking score (kcal/mol) exposed that the marine terpenoid brevione F (-8.4) and stachyflin (-8.4) exhibited similar activity with the reference antiviral drugs lopinavir (-8.4) and darunavir (-7.5) against the target SARS-CoV-Mpro. Similarly, marine terpenoids such as xiamycin (-9.3), thyrsiferol (-9.2), liouvilloside B (-8.9), liouvilloside A (-8.8), and stachyflin (-8.7) exhibited comparatively higher docking scores than the referral drug remdesivir (-7.4), and favipiravir (-5.7) against the target SARS-CoV-2-RdRp. The above in silico investigations concluded that stachyflin is the most 'lead' candidate with the most potential against SARS-CoV-2. Previously, stachyflin also exhibited potential activity against HSV-1 and CoV-A59 within IC50, 0.16-0.82 µM. Therefore, some additional pharmacological studies are needed to develop 'stachyflin' as a drug against SARS-CoV-2.
Collapse
Affiliation(s)
- Alaka Sahoo
- Department of Skin & VD, Institute of Medical Sciences and SUM Hospital, Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar 751003, Odisha, India; (A.S.); (M.P.); (A.K.J.)
| | - Shivkanya Fuloria
- Faculty of Pharmacy, Centre of Excellence for Biomaterials Engineering, AIMST University, Bedong 08100, Kedah, Malaysia
- Correspondence: (S.F.); (N.K.F.)
| | - Shasank S. Swain
- Division of Microbiology and NCDs, ICMR–Regional Medical Research Centre, Bhubaneswar 751023, Odisha, India;
| | - Sujogya K. Panda
- Center of Environment Climate Change and Public Health, Utkal University, Vani Vihar, Bhubaneswar 751004, Odisha, India;
| | - Mahendran Sekar
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy and Health Sciences, Universiti Kuala Lumpur Royal College of Medicine Perak, Ipoh 30450, Perak, Malaysia;
| | - Vetriselvan Subramaniyan
- Faculty of Medicine, Bioscience and Nursing, MAHSA University, Jalan SP 2, Bandar Saujana Putra, Jenjarom 42610, Selangor, Malaysia;
| | - Maitreyee Panda
- Department of Skin & VD, Institute of Medical Sciences and SUM Hospital, Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar 751003, Odisha, India; (A.S.); (M.P.); (A.K.J.)
| | - Ajaya K. Jena
- Department of Skin & VD, Institute of Medical Sciences and SUM Hospital, Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar 751003, Odisha, India; (A.S.); (M.P.); (A.K.J.)
| | - Kathiresan V. Sathasivam
- Faculty of Applied Science, Centre of Excellence for Biomaterials Engineering, AIMST University, Bedong 08100, Kedah, Malaysia;
| | - Neeraj Kumar Fuloria
- Faculty of Pharmacy, Centre of Excellence for Biomaterials Engineering, AIMST University, Bedong 08100, Kedah, Malaysia
- Correspondence: (S.F.); (N.K.F.)
| |
Collapse
|
11
|
Ogunyemi OM, Gyebi GA, Ibrahim IM, Olaiya CO, Ocheje JO, Fabusiwa MM, Adebayo JO. Dietary stigmastane-type saponins as promising dual-target directed inhibitors of SARS-CoV-2 proteases: a structure-based screening. RSC Adv 2021; 11:33380-33398. [PMID: 35497510 PMCID: PMC9042289 DOI: 10.1039/d1ra05976a] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Accepted: 10/01/2021] [Indexed: 12/15/2022] Open
Abstract
Despite the development of COVID-19 vaccines, at present, there is still no approved antiviral drug against the pandemic. The SARS-CoV-2 3-chymotrypsin-like proteases (S-3CLpro) and papain-like protease (S-PLpro) are essential for the viral proliferation cycle, hence attractive drug targets. Plant-based dietary components that have been extensively reported for antiviral activities may serve as cheap sources of preventive nutraceuticals and/or antiviral drugs. A custom-made library of 176 phytochemicals from five West African antiviral culinary herbs was screened for potential dual-target-directed inhibitors of S-3CLpro and S-PLpro in silico. The docking analysis revealed fifteen steroidal saponins (FSS) from Vernonia amygdalina with the highest binding tendency for the active sites of S-3CLpro and S-PLpro. In an optimized docking analysis, the FSS were further docked against four equilibrated conformers of the S-3CLpro and S-PLpro. Three stigmastane-type steroidal saponins (vernonioside A2, vernonioside A4 and vernonioside D2) were revealed as the lead compounds. These compounds interacted with the catalytic residues of both S-3CLpro and S-PLpro, thereby exhibiting dual inhibitory potential against these SARS-CoV-2 cysteine proteases. The binding free energy calculations further corroborated the static and optimized docking analysis. The complexed proteases with these promising phytochemicals were stable during a full atomistic MD simulation while the phytochemicals exhibited favourable physicochemical and ADMET properties, hence, recommended as promising inhibitors of SARS-CoV-2 cysteine proteases.
Collapse
Affiliation(s)
- Oludare M Ogunyemi
- Human Nutraceuticals and Bioinformatics Research Unit, Department of Biochemistry, Salem University Lokoja Nigeria
- Nutritional and Industrial Biochemistry Unit, Department of Biochemistry, University of Ibadan Nigeria
| | - Gideon A Gyebi
- Department of Biochemistry, Faculty of Science and Technology, Bingham University P.M.B 005, Karu Nasarawa Nigeria +234-7063983652
| | - Ibrahim M Ibrahim
- Department of Biophysics, Faculty of Sciences, Cairo University Giza Egypt
| | - Charles O Olaiya
- Nutritional and Industrial Biochemistry Unit, Department of Biochemistry, University of Ibadan Nigeria
| | - Joshua O Ocheje
- Department of Pure and Industrial Chemistry, Nnamdi Azikiwe University Akwa Nigeria
| | - Modupe M Fabusiwa
- Human Nutraceuticals and Bioinformatics Research Unit, Department of Biochemistry, Salem University Lokoja Nigeria
| | - Joseph O Adebayo
- Department of Biochemistry, Faculty of Life Sciences, University of Ilorin Ilorin Nigeria
| |
Collapse
|
12
|
Muhammed Y, Yusuf Nadabo A, Pius M, Sani B, Usman J, Anka Garba N, Mohammed Sani J, Opeyemi Olayanju B, Zeal Bala S, Garba Abdullahi M, Sambo M. SARS-CoV-2 spike protein and RNA dependent RNA polymerase as targets for drug and vaccine development: A review. BIOSAFETY AND HEALTH 2021; 3:249-263. [PMID: 34396086 PMCID: PMC8346354 DOI: 10.1016/j.bsheal.2021.07.003] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 07/04/2021] [Accepted: 07/18/2021] [Indexed: 01/18/2023] Open
Abstract
The present pandemic has posed a crisis to the economy of the world and the health sector. Therefore, the race to expand research to understand some good molecular targets for vaccine and therapeutic development for SARS-CoV-2 is inevitable. The newly discovered coronavirus 2019 (COVID-19) is a positive sense, single-stranded RNA, and enveloped virus, assigned to the beta CoV genus. The virus (SARS-CoV-2) is more infectious than the previously detected coronaviruses (MERS and SARS). Findings from many studies have revealed that S protein and RdRp are good targets for drug repositioning, novel therapeutic development (antibodies and small molecule drugs), and vaccine discovery. Therapeutics such as chloroquine, convalescent plasma, monoclonal antibodies, spike binding peptides, and small molecules could alter the ability of S protein to bind to the ACE-2 receptor, and drugs such as remdesivir (targeting SARS-CoV-2 RdRp), favipir, and emetine could prevent SASR-CoV-2 RNA synthesis. The novel vaccines such as mRNA1273 (Moderna), 3LNP-mRNAs (Pfizer/BioNTech), and ChAdOx1-S (University of Oxford/Astra Zeneca) targeting S protein have proven to be effective in combating the present pandemic. Further exploration of the potential of S protein and RdRp is crucial in fighting the present pandemic.
Collapse
Affiliation(s)
- Yusuf Muhammed
- Department of Biochemistry, Federal University, Gusau, Nigeria,Corresponding author: Department of Biochemistry, Federal University, Gusau, Nigeria
| | | | - Mkpouto Pius
- Department of Medical Genetics, University of Cambridge, CB2 1TN, United Kingdom
| | - Bashiru Sani
- Department of Microbiology, Federal University of Lafia, Nigeria
| | - Jafar Usman
- Department of Biochemistry, Federal University, Gusau, Nigeria
| | | | | | - Basit Opeyemi Olayanju
- Department of Chemistry and Biochemistry, Florida International University, FL 33199, USA
| | | | | | - Misbahu Sambo
- Department of Biochemistry, Abubakar Tafawa Balewa University Bauchi, Nigeria
| |
Collapse
|
13
|
Chen W, Wang Z, Wang Y, Li Y. Natural Bioactive Molecules as Potential Agents Against SARS-CoV-2. Front Pharmacol 2021; 12:702472. [PMID: 34483904 PMCID: PMC8416071 DOI: 10.3389/fphar.2021.702472] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 07/12/2021] [Indexed: 12/24/2022] Open
Abstract
In the past two decades, pandemics of several fatal coronaviruses have posed enormous challenges for public health, including SARS-CoV (2003), MERS-CoV (2012), and SARS-CoV-2 (2019). Among these, SARS-CoV-2 continues to ravage the world today and has lead to millions of deaths and incalculable economic damage. Till now, there is no clinically proven antiviral drug available for SARS-CoV-2. However, the bioactive molecules of natural origin, especially medicinal plants, have been proven to be potential resources in the treatment of SARS-CoV-2, acting at different stages of the viral life cycle and targeting different viral or host proteins, such as PLpro, 3CLpro, RdRp, helicase, spike, ACE2, and TMPRSS2. They provide a viable strategy to develop therapeutic agents. This review presents fundamental biological information on SARS-CoV-2, including the viral biological characteristics and invasion mechanisms. It also summarizes the reported natural bioactive molecules with anti-coronavirus properties, arranged by their different targets in the life cycle of viral infection of human cells, and discusses the prospects of these bioactive molecules for the treatment of COVID-19.
Collapse
Affiliation(s)
- Wei Chen
- Department of Medicinal Chemistry, School of Pharmacy, Xi’an Jiaotong University, Xi’an, China
| | - Zhihao Wang
- Biobank, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Yawen Wang
- Biobank, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Department of Laboratory Medicine, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Yiping Li
- Department of Medicinal Chemistry, School of Pharmacy, Xi’an Jiaotong University, Xi’an, China
| |
Collapse
|
14
|
D614G Substitution of SARS-CoV-2 Spike Protein Increases Syncytium Formation and Virus Titer via Enhanced Furin-Mediated Spike Cleavage. mBio 2021; 12:e0058721. [PMID: 34311586 PMCID: PMC8406174 DOI: 10.1128/mbio.00587-21] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Since the D614G substitution in the spike (S) protein of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged, the variant strain has undergone a rapid expansion to become the most abundant strain worldwide. Therefore, this substitution may provide an advantage for viral spreading. To explore the mechanism, we analyzed 18 viral isolates containing S proteins with either G614 or D614 (S-G614 and S-D614, respectively). The plaque assay showed a significantly higher virus titer in S-G614 than in S-D614 isolates. We further found increased cleavage of the S protein at the furin substrate site, a key event that promotes syncytium formation, in S-G614 isolates. The enhancement of the D614G substitution in the cleavage of the S protein and in syncytium formation has been validated in cells expressing S protein. The effect on the syncytium was abolished by furin inhibitor treatment and mutation of the furin cleavage site, suggesting its dependence on cleavage by furin. Our study pointed to the impact of the D614G substitution on syncytium formation through enhanced furin-mediated S cleavage, which might increase the transmissibility and infectivity of SARS-CoV-2 strains containing S-G614.
Collapse
|
15
|
Md Nayeem S, Sohail EM, Srihari NV, Indira P, Srinivasa Reddy M. Target SARS-CoV-2: theoretical exploration on clinical suitability of certain drugs. J Biomol Struct Dyn 2021; 40:8905-8912. [PMID: 33988066 PMCID: PMC8127163 DOI: 10.1080/07391102.2021.1924262] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 04/11/2021] [Indexed: 12/14/2022]
Abstract
We propose a unique theoretical methodology because of the global high priority rating to search for the repurposed drugs that outfit clinical suitability to SARS-CoV-2. The approach is based on the exploration of structural analysis, computation of biothermodynamics, interactions and the prediction of entropy sign successively via molecular dynamics. We tested this methodology for Favipiravir/Dolutegravir drugs on the apo form of SARS-CoV-2 main protease. This theoretical exploration not only suggested the presence of strong interactions between (SARS-CoV-2 + Favipiravir/Dolutegravir) but also emphasized the clinical suitability of Favipiravir over Dolutegravir to treat SARS-CoV-2 main protease. The supremacy of Favipiravir over Doultegravir is well supported by the results of global clinical trials on SARS-CoV-2 infection. Thus, this work will pave the way for incremental advancement towards future design and development of more specific inhibitors to treat SARS-CoV-2 infection in humans.Communicated by Ramaswamy H. Sarma.
Collapse
Affiliation(s)
- Sk. Md Nayeem
- Department of Physics, K.R.K. Govt. Degree College, Addanki, AP, India
| | | | - N. V. Srihari
- Department of Physics, K.R.K. Govt. Degree College, Addanki, AP, India
| | - P. Indira
- Department of Physics, K.R.K. Govt. Degree College, Addanki, AP, India
| | - M. Srinivasa Reddy
- Department of Chemistry, T.R.R. Govt. Degree College, Kandukur, AP, India
| |
Collapse
|
16
|
A hijack mechanism of Indian SARS-CoV-2 isolates for relapsing contemporary antiviral therapeutics. Comput Biol Med 2021; 132:104315. [PMID: 33705994 PMCID: PMC7935700 DOI: 10.1016/j.compbiomed.2021.104315] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 03/02/2021] [Indexed: 12/16/2022]
Abstract
Coronavirus disease (COVID-19) rapidly expands to a global pandemic and its impact on public health varies from country to country. It is caused by a new virus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It is imperative for relapsing current antiviral therapeutics owing to randomized genetic drift in global SARS-CoV-2 isolates. A molecular mechanism behind the emerging genomic variants is not yet understood for the prioritization of selective antivirals. The present computational study was aimed to repurpose existing antivirals for Indian SARS-CoV-2 isolates by uncovering a hijack mechanism based on structural and functional characteristics of protein variants. Forty-one protein mutations were identified in 12 Indian SARS-CoV-2 isolates by analysis of genome variations across 460 genome sequences obtained from 30 geographic sites in India. Two unique mutations such as W6152R and N5928H found in exonuclease of Surat (GBRC275b) and Gandhinagar (GBRC239) isolates. We report for the first time the impact of folding rate on stabilizing/retaining a sequence-structure-function-virulence link of emerging protein variants leading to accommodate hijack ability from current antivirals. Binding affinity analysis revealed the effect of point mutations on virus infectivity and the drug-escaping efficiency of Indian isolates. Emodin and artinemol suggested herein as repurposable antivirals for the treatment of COVID-19 patients infected with Indian isolates. Our study concludes that a protein folding rate is a key structural and evolutionary determinant to enhance the receptor-binding specificity and ensure hijack ability from the prevalent antiviral therapeutics.
Collapse
|
17
|
Islam MT, Alam ARU, Sakib N, Hasan MS, Chakrovarty T, Tawyabur M, Islam OK, Al-Emran HM, Jahid MIK, Anwar Hossain M. A rapid and cost-effective multiplex ARMS-PCR method for the simultaneous genotyping of the circulating SARS-CoV-2 phylogenetic clades. J Med Virol 2021; 93:2962-2970. [PMID: 33491822 DOI: 10.1101/2020.10.08.20209692] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Revised: 01/15/2021] [Accepted: 01/20/2021] [Indexed: 05/23/2023]
Abstract
Tracing the globally circulating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) phylogenetic clades by high-throughput sequencing is costly, time-consuming, and labor-intensive. We here propose a rapid, simple, and cost-effective amplification refractory mutation system (ARMS)-based multiplex reverse-transcription polymerase chain reaction (PCR) assay to identify six distinct phylogenetic clades: S, L, V, G, GH, and GR. Our multiplex PCR is designed in a mutually exclusive way to identify V-S and G-GH-GR clade variants separately. The pentaplex assay included all five variants and the quadruplex comprised of the triplex variants alongside either V or S clade mutations that created two separate subsets. The procedure was optimized with 0.2-0.6 µM primer concentration, 56-60°C annealing temperature, and 3-5 ng/µl complementary DNA to validate on 24 COVID-19-positive samples. Targeted Sanger sequencing further confirmed the presence of the clade-featured mutations with another set of primers. This multiplex ARMS-PCR assay is a fast, low-cost alternative and convenient to discriminate the circulating phylogenetic clades of SARS-CoV-2.
Collapse
Affiliation(s)
- Mohammad Tanvir Islam
- Department of Microbiology, Jashore University of Science and Technology, Jashore, Bangladesh
| | - Asm Rubayet Ul Alam
- Department of Microbiology, Jashore University of Science and Technology, Jashore, Bangladesh
| | - Najmuj Sakib
- Department of Microbiology, Jashore University of Science and Technology, Jashore, Bangladesh
| | - Mohammad Shazid Hasan
- Department of Microbiology, Jashore University of Science and Technology, Jashore, Bangladesh
| | - Tanay Chakrovarty
- Department of Microbiology, Jashore University of Science and Technology, Jashore, Bangladesh
| | - Mohammad Tawyabur
- Department of Microbiology, Jashore University of Science and Technology, Jashore, Bangladesh
| | - Ovinu Kibria Islam
- Department of Microbiology, Jashore University of Science and Technology, Jashore, Bangladesh
| | - Hassan M Al-Emran
- Department of Biomedical Engineering, Jashore University of Science and Technology, Jashore, Bangladesh
| | | | - Mohammad Anwar Hossain
- Department of Microbiology, Jashore University of Science and Technology, Jashore, Bangladesh
- Department of Microbiology, University of Dhaka, Dhaka, Bangladesh
| |
Collapse
|
18
|
Kumar V, Parate S, Yoon S, Lee G, Lee KW. Computational Simulations Identified Marine-Derived Natural Bioactive Compounds as Replication Inhibitors of SARS-CoV-2. Front Microbiol 2021; 12:647295. [PMID: 33967984 PMCID: PMC8097174 DOI: 10.3389/fmicb.2021.647295] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Accepted: 02/25/2021] [Indexed: 01/18/2023] Open
Abstract
The rapid spread of COVID-19, caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a worldwide health emergency. Unfortunately, to date, a very small number of remedies have been to be found effective against SARS-CoV-2 infection. Therefore, further research is required to achieve a lasting solution against this deadly disease. Repurposing available drugs and evaluating natural product inhibitors against target proteins of SARS-CoV-2 could be an effective approach to accelerate drug discovery and development. With this strategy in mind, we derived Marine Natural Products (MNP)-based drug-like small molecules and evaluated them against three major target proteins of the SARS-CoV-2 virus replication cycle. A drug-like database from MNP library was generated using Lipinski's rule of five and ADMET descriptors. A total of 2,033 compounds were obtained and were subsequently subjected to molecular docking with 3CLpro, PLpro, and RdRp. The docking analyses revealed that a total of 14 compounds displayed better docking scores than the reference compounds and have significant molecular interactions with the active site residues of SARS-CoV-2 virus targeted proteins. Furthermore, the stability of docking-derived complexes was analyzed using molecular dynamics simulations and binding free energy calculations. The analyses revealed two hit compounds against each targeted protein displaying stable behavior, binding affinity, and molecular interactions. Our investigation identified two hit compounds against each targeted proteins displaying stable behavior, higher binding affinity and key residual molecular interactions, with good in silico pharmacokinetic properties, therefore can be considered for further in vitro studies.
Collapse
Affiliation(s)
- Vikas Kumar
- Division of Life Sciences, Department of Bio & Medical Big Data (BK4 Program), Research Institute of Natural Science, Gyeongsang National University, Jinju, South Korea
| | - Shraddha Parate
- Division of Applied Life Science, Plant Molecular Biology and Biotechnology Research Center (PMBBRC), Gyeongsang National University (GNU), Jinju, South Korea
| | - Sanghwa Yoon
- Division of Life Sciences, Department of Bio & Medical Big Data (BK4 Program), Research Institute of Natural Science, Gyeongsang National University, Jinju, South Korea
| | - Gihwan Lee
- Division of Applied Life Science, Plant Molecular Biology and Biotechnology Research Center (PMBBRC), Gyeongsang National University (GNU), Jinju, South Korea
| | - Keun Woo Lee
- Division of Life Sciences, Department of Bio & Medical Big Data (BK4 Program), Research Institute of Natural Science, Gyeongsang National University, Jinju, South Korea
| |
Collapse
|
19
|
In-Silico Drug Designing of Spike Receptor with Its ACE2 Receptor and Nsp10/Nsp16 MTase Complex Against SARS-CoV-2. Int J Pept Res Ther 2021; 27:1633-1640. [PMID: 33746660 PMCID: PMC7966892 DOI: 10.1007/s10989-021-10196-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/02/2021] [Indexed: 12/23/2022]
Abstract
The realm Riboviria constitutes Coronaviruses, which led to the emergence of the pandemic COVID 19 in the twenty-first century affected millions of lives. At present, the management of COVID 19 largely depends on antiviral therapeutics along with the anti-inflammatory drug. The vaccine is under the final clinical phase, and emergency use is available. We aim at ACE2 and Nsp10/Nsp16 MTase as potential drug candidate in COVID 19 management in the present work. For drug designing, various computational simulation strategies have been employed like Swiss-Model, Hawk Dock, HDOCK, py Dock, and PockDrug for homology modeling, binding energies of the molecule with a target, simulate the conformation and binding poses, statistics of protein lock with target key and drug ability, respectively. The current in-silico screening depicts that the spike protein receptor is complementary to the target when bound to each other and forms a stable complex. The MMGBSA free energy binding property of receptor and ligand is critical. The intermolecular Statistics with the target Nsp10/Nsp16 MTase complex are plausible. We have also observed a high-affinity pocket binding site with the target. Therefore, the favorable intermolecular interactions and Physico-chemical properties emanate as a drug candidate treating COVID-19. This study has approached computational tools to analyze the conformation, binding affinity, and drug ability of receptor-ligand. Thus, the spike receptor with its ACE2 receptor with Nsp10/Nsp16 MTase complex would be a potent drug against SARS CoV-2 and can cure the infection as per consensus scoring.
Collapse
|
20
|
Manelfi C, Gossen J, Gervasoni S, Talarico C, Albani S, Philipp BJ, Musiani F, Vistoli G, Rossetti G, Beccari AR, Pedretti A. Combining Different Docking Engines and Consensus Strategies to Design and Validate Optimized Virtual Screening Protocols for the SARS-CoV-2 3CL Protease. Molecules 2021; 26:molecules26040797. [PMID: 33557115 PMCID: PMC7913849 DOI: 10.3390/molecules26040797] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 01/20/2021] [Accepted: 01/26/2021] [Indexed: 02/06/2023] Open
Abstract
The 3CL-Protease appears to be a very promising medicinal target to develop anti-SARS-CoV-2 agents. The availability of resolved structures allows structure-based computational approaches to be carried out even though the lack of known inhibitors prevents a proper validation of the performed simulations. The innovative idea of the study is to exploit known inhibitors of SARS-CoV 3CL-Pro as a training set to perform and validate multiple virtual screening campaigns. Docking simulations using four different programs (Fred, Glide, LiGen, and PLANTS) were performed investigating the role of both multiple binding modes (by binding space) and multiple isomers/states (by developing the corresponding isomeric space). The computed docking scores were used to develop consensus models, which allow an in-depth comparison of the resulting performances. On average, the reached performances revealed the different sensitivity to isomeric differences and multiple binding modes between the four docking engines. In detail, Glide and LiGen are the tools that best benefit from isomeric and binding space, respectively, while Fred is the most insensitive program. The obtained results emphasize the fruitful role of combining various docking tools to optimize the predictive performances. Taken together, the performed simulations allowed the rational development of highly performing virtual screening workflows, which could be further optimized by considering different 3CL-Pro structures and, more importantly, by including true SARS-CoV-2 3CL-Pro inhibitors (as learning set) when available.
Collapse
Affiliation(s)
- Candida Manelfi
- Dompé Farmaceutici SpA, Via Campo di Pile, 67100 L’Aquila, Italy; (C.M.); (C.T.); (A.R.B.)
| | - Jonas Gossen
- Computational Biomedicine, Institute for Neuroscience and Medicine (INM-9) and Institute for Advanced Simulations (IAS-5), Forschungszentrum Jülich, 52425 Jülich, Germany; (J.G.); (S.A.); (B.J.P.); (G.R.)
- Faculty of Mathematics, Computer Science and Natural Sciences, RWTH Aachen, 52062 Aachen, Germany
| | - Silvia Gervasoni
- Dipartimento di Scienze Farmaceutiche, Università degli Studi di Milano, Via Mangiagalli, 25, I-20133 Milano, Italy; (S.G.); (G.V.)
| | - Carmine Talarico
- Dompé Farmaceutici SpA, Via Campo di Pile, 67100 L’Aquila, Italy; (C.M.); (C.T.); (A.R.B.)
| | - Simone Albani
- Computational Biomedicine, Institute for Neuroscience and Medicine (INM-9) and Institute for Advanced Simulations (IAS-5), Forschungszentrum Jülich, 52425 Jülich, Germany; (J.G.); (S.A.); (B.J.P.); (G.R.)
- Faculty of Mathematics, Computer Science and Natural Sciences, RWTH Aachen, 52062 Aachen, Germany
| | - Benjamin Joseph Philipp
- Computational Biomedicine, Institute for Neuroscience and Medicine (INM-9) and Institute for Advanced Simulations (IAS-5), Forschungszentrum Jülich, 52425 Jülich, Germany; (J.G.); (S.A.); (B.J.P.); (G.R.)
- Faculty of Mathematics, Computer Science and Natural Sciences, RWTH Aachen, 52062 Aachen, Germany
| | - Francesco Musiani
- Laboratory of Bioinorganic Chemistry, Department of Pharmacy and Biotechnology, University of Bologna, 40127 Bologna, Italy;
| | - Giulio Vistoli
- Dipartimento di Scienze Farmaceutiche, Università degli Studi di Milano, Via Mangiagalli, 25, I-20133 Milano, Italy; (S.G.); (G.V.)
| | - Giulia Rossetti
- Computational Biomedicine, Institute for Neuroscience and Medicine (INM-9) and Institute for Advanced Simulations (IAS-5), Forschungszentrum Jülich, 52425 Jülich, Germany; (J.G.); (S.A.); (B.J.P.); (G.R.)
- Jülich Supercomputing Center (JSC), Forschungszentrum Jülich, 52425 Jülich, Germany
- Department of Hematology, Oncology, Hemostaseology and Stem Cell Transplantation University Hospital Aachen, RWTH Aachen University, Pauwelsstraße 30, 52074 Aachen, Germany
| | - Andrea Rosario Beccari
- Dompé Farmaceutici SpA, Via Campo di Pile, 67100 L’Aquila, Italy; (C.M.); (C.T.); (A.R.B.)
| | - Alessandro Pedretti
- Dipartimento di Scienze Farmaceutiche, Università degli Studi di Milano, Via Mangiagalli, 25, I-20133 Milano, Italy; (S.G.); (G.V.)
- Correspondence: ; Tel.: +39-02-5031-9332
| |
Collapse
|
21
|
Islam MT, Alam ARU, Sakib N, Hasan MS, Chakrovarty T, Tawyabur M, Islam OK, Al-Emran HM, Jahid MIK, Anwar Hossain M. A rapid and cost-effective multiplex ARMS-PCR method for the simultaneous genotyping of the circulating SARS-CoV-2 phylogenetic clades. J Med Virol 2021; 93:2962-2970. [PMID: 33491822 PMCID: PMC8014803 DOI: 10.1002/jmv.26818] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Revised: 01/15/2021] [Accepted: 01/20/2021] [Indexed: 01/09/2023]
Abstract
Tracing the globally circulating severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) phylogenetic clades by high‐throughput sequencing is costly, time‐consuming, and labor‐intensive. We here propose a rapid, simple, and cost‐effective amplification refractory mutation system (ARMS)‐based multiplex reverse‐transcription polymerase chain reaction (PCR) assay to identify six distinct phylogenetic clades: S, L, V, G, GH, and GR. Our multiplex PCR is designed in a mutually exclusive way to identify V–S and G–GH–GR clade variants separately. The pentaplex assay included all five variants and the quadruplex comprised of the triplex variants alongside either V or S clade mutations that created two separate subsets. The procedure was optimized with 0.2–0.6 µM primer concentration, 56–60°C annealing temperature, and 3–5 ng/µl complementary DNA to validate on 24 COVID‐19‐positive samples. Targeted Sanger sequencing further confirmed the presence of the clade‐featured mutations with another set of primers. This multiplex ARMS‐PCR assay is a fast, low‐cost alternative and convenient to discriminate the circulating phylogenetic clades of SARS‐CoV‐2. Multiplex ARMS‐PCR (amplification refractory mutation system‐polymerase chain reaction) method for genotyping major severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2 clades). Identify the mutated region of circulating phylogenetically SARS‐CoV‐2 clades. PCR conditions were optimized and validated to identify V–S and G–GH–GR clade.
Collapse
Affiliation(s)
- Mohammad Tanvir Islam
- Department of Microbiology, Jashore University of Science and Technology, Jashore, Bangladesh
| | - Asm Rubayet Ul Alam
- Department of Microbiology, Jashore University of Science and Technology, Jashore, Bangladesh
| | - Najmuj Sakib
- Department of Microbiology, Jashore University of Science and Technology, Jashore, Bangladesh
| | - Mohammad Shazid Hasan
- Department of Microbiology, Jashore University of Science and Technology, Jashore, Bangladesh
| | - Tanay Chakrovarty
- Department of Microbiology, Jashore University of Science and Technology, Jashore, Bangladesh
| | - Mohammad Tawyabur
- Department of Microbiology, Jashore University of Science and Technology, Jashore, Bangladesh
| | - Ovinu Kibria Islam
- Department of Microbiology, Jashore University of Science and Technology, Jashore, Bangladesh
| | - Hassan M Al-Emran
- Department of Biomedical Engineering, Jashore University of Science and Technology, Jashore, Bangladesh
| | | | - Mohammad Anwar Hossain
- Department of Microbiology, Jashore University of Science and Technology, Jashore, Bangladesh.,Department of Microbiology, University of Dhaka, Dhaka, Bangladesh
| |
Collapse
|
22
|
Arora S, Lohiya G, Moharir K, Shah S, Yende S. Identification of Potential Flavonoid Inhibitors of the SARS-CoV-2 Main Protease 6YNQ: A Molecular Docking Study. DIGITAL CHINESE MEDICINE 2020. [PMCID: PMC7834211 DOI: 10.1016/j.dcmed.2020.12.003] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Objective Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent for coronavirus disease 2019 (COVID-19), is responsible for the recent global pandemic. As there are no effective drugs or vaccines available for SARS-CoV-2, we investigated the potential of flavonoids against SARS-CoV-2 main protease 6YNQ. Methods In silico molecular simulation study against SARS-CoV-2 main protease 6YNQ. Results Among the 21 selected flavonoids, rutin demonstrated the highest binding energy (− 8.7 kcal/mol) and displayed perfect binding with the catalytic sites. Conclusions Our study demonstrates the inhibitory potential of flavonoids against SARS-CoV-2 main protease 6YNQ. These computational simulation studies support the hypothesis that flavonoids might be helpful for the treatment of COVID-19.
Collapse
|