Computational study of 2D photonic crystal based biosensor for SARS-COV-2 detection

A computational study to design a 2D-photonic crystal (PC) structure with a fluorescence-based biosensor has been demonstrated for the detection of the severe acute respiratory syndrome corona virus 2 (SARS-COV-2) virus in the lungs. The proposed sensor can detect the different concentrations of the virus without any pretreatment of the sample. The virus detection is performed by measuring the mid-gap wavelength from the dispersion diagram and a redshift in the mid-gap wavelength has been observed as the concentration of virus increases in the lung tissue. The plane wave expansion method is used to determine the dispersion diagram of the proposed PC. The interaction of incident light with the proposed PC-based biosensor has been analyzed to evaluate the shift in the mid-gap wavelength. A maximum sensitivity of about 1459.3 nm/RIU is obtained for r/a = 0.45 with a mid-gap wavelength shift of 145.93 nm at n net = 1.49 concentration of SARS-COV-2. Moreover, a very small detection time has been observed with the proposed device as compared to conventional methods. This study provides a simple process to detect the presence of a virus within a short period and could be helpful in the development of a direct and easy-to-use portable detection kit in the future. © 2023 IOP Publishing Ltd.

COMPUTATIONAL MOLECULAR DOCKING AND IN SILICO ADMET PREDICTION STUDIES OF PYRAZOLE DERIVATIVES AS COVID-19 MAIN PROTEASE (MPRO) AND PAPAIN-LIKE PROTEASE (PLPRO) INHIBITORS

The inhibition of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) main protease (Mpro) and papain-like protease (PLpro) prevents viral multiplications. Molecular docking, absorption, distribution, metabolism, excretion, and toxicity (ADMET) studies of pyrazole-indole molecules 6a, b, Schiff bases 8a, b, and pyrazolo[1,5-a]pyrimidines 10a, b were performed and done. Based on the molecular docking study verified that the presented structures (6a, 6b, 8a, 8b, 10a, and 10b) give promised attached bonds with the active site in the COVID-19 main protease (Mpro). The results of in silico ADMET prediction study revealed that these compounds may be considered candidates for the discovery or development of new series of COVID-19 drugs. © 2023 Chemical Society of Ethiopia and The Authors.

Computer-Aided Drug Discovery Approaches in the Identification of Natural Products against SARS-CoV-2: A Review.

BACKGROUND: The COVID-19 pandemic is raising a worldwide search for compounds that could act against the disease, mainly due to its mortality. With this objective, many researchers invested in the discovery and development of drugs of natural origin. To assist in this search, the potential of computational tools to reduce the time and cost of the entire process is known. OBJECTIVE: Thus, this review aimed to identify how these tools have helped in the identification of natural products against SARS-CoV-2. METHODS AND RESULTS: For this purpose, a literature review was carried out with scientific articles with this proposal where it was possible to observe that different classes of primary and, mainly, secondary metabolites were evaluated against different molecular targets, mostly being enzymes and spike, using computational techniques, with emphasis on the use of molecular docking. CONCLUSION: However, it is noted that in silico evaluations still have much to contribute to the identification of an anti-SARS-CoV-2 substance, due to the vast chemical diversity of natural products, identification and use of different molecular targets and computational advancement.

Potential RNA-dependent RNA polymerase (RdRp) inhibitors as prospective drug candidates for SARS-CoV-2.

The SARS-CoV-2 pandemic is considered as one of the most disastrous pandemics for human health and the world economy. RNA-dependent RNA polymerase (RdRp) is one of the key enzymes that control viral replication. RdRp is an attractive and promising therapeutic target for the treatment of SARS-CoV-2 disease. It has attracted much interest of medicinal chemists, especially after the approval of Remdesivir. This study highlights the most promising SARS-CoV-2 RdRp repurposed drugs in addition to natural and synthetic agents. Although many in silico predicted agents have been developed, the lack of in vitro and in vivo experimental data has hindered their application in drug discovery programs.

Free radical induced degradation and computational studies of hydroxychloroquine in aqueous solution.

Hydroxychloroquine (HCQ) is a potential drug molecule for treating malaria. Recently it has also been tried as adjustment in Covid 19 therapy. Interaction of HCQ with free radicals is very important, which controls its stability in the environment where free radicals are generated unintentionally. In this report, we present detailed investigation on the reactions of hydrated electrons (eaq -) and hydroxyl radical (•OH) with HCQ in aqueous solution through electron pulse radiolysis technique and computational studies. The degradation of HCQ was found to be faster in the case of reaction with •OH radicals. However, the degradation could be substantially slowed down in the presence of antioxidants like ascorbic acid and gallic acid. This revealed that the stability of HCQ could be enhanced in an oxidative environment in the presence of these two compounds, which are easily available through food supplements. Various global and local reactivity parameters are also determined to understand the reactivity trend using Hard-Soft Acid-Base (HSAB) principle in the realm of the DFT methods. Computational studies were performed to elucidate the site-specific reactivity trend towards the electrophilic and nucleophilic attack by calculating the condensed Fukui index for various species of HCQ.

Computational Modelling and Sustainable Synthesis of a Highly Selective Electrochemical MIP-Based Sensor for Citalopram Detection.

A novel molecularly imprinted polymer (MIP) has been developed based on a simple and sustainable strategy for the selective determination of citalopram (CTL) using screen-printed carbon electrodes (SPCEs). The MIP layer was prepared by electrochemical in situ polymerization of the 3-amino-4 hydroxybenzoic acid (AHBA) functional monomer and CTL as a template molecule. To simulate the polymerization mixture and predict the most suitable ratio between the template and functional monomer, computational studies, namely molecular dynamics (MD) simulations, were carried out. During the experimental preparation process, essential parameters controlling the performance of the MIP sensor, including CTL:AHBA concentration, number of polymerization cycles, and square wave voltammetry (SWV) frequency were investigated and optimized. The electrochemical characteristics of the prepared MIP sensor were evaluated by both cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) techniques. Based on the optimal conditions, a linear electrochemical response of the sensor was obtained by SWV measurements from 0.1 to 1.25 µmol L-1 with a limit of detection (LOD) of 0.162 µmol L-1 (S/N = 3). Moreover, the MIP sensor revealed excellent CTL selectivity against very close analogues, as well as high imprinting factor of 22. Its applicability in spiked river water samples demonstrated its potential for adequate monitoring of CTL. This sensor offers a facile strategy to achieve portability while expressing a willingness to care for the environment.

Calendulaglycoside A showing potential activity against SARS-CoV-2 main protease: Molecular docking, molecular dynamics, and SAR studies.

BACKGROUND AND AIM: The discovery of drugs capable of inhibiting SARS-CoV-2 is a priority for human beings due to the severity of the global health pandemic caused by COVID-19. To this end, natural products can provide therapeutic alternatives that could be employed as an effective safe treatment for COVID-19. EXPERIMENTAL PROCEDURE: Twelve compounds were isolated from the aerial parts of C. officinalis L. and investigated for their inhibitory activities against SARS-CoV-2 Mpro compared to its co-crystallized N3 inhibitor using molecular docking studies. Furthermore, a 100 ns MD simulation was performed for the most active two promising compounds, Calendulaglycoside A (SAP5) and Osteosaponin-I (SAP8). RESULTS AND CONCLUSION: At first, molecular docking studies showed interesting binding scores as compared to the N3 inhibitor. Calendulaglycoside A (SAP5) achieved a superior binding than the co-crystallized inhibitor indicating promising affinity and intrinsic activity towards the Mpro of SARS-CoV-2 as well. Moreover, findings illustrated preferential stability for SAP5 within the Mpro pocket over that of N3 beyond the 40 ns MD simulation course. Structural preferentiality for triterpene-Mpro binding highlights the significant role of 17ß-glucosyl and carboxylic 3α-galactosyl I moieties through high electrostatic interactions across the MD simulation trajectories. Furthermore, this study clarified a promising SAR responsible for the antiviral activity against the SARS-CoV-2 Mpro and the design of new drug candidates targeting it as well. The above findings could be promising for fast examining the previously isolated triterpenes both pre-clinically and clinically for the treatment of COVID-19.

Synthesis and Comparative Spectroscopic Studies, HOMO–LUMO Analysis and Molecular Docking Studies of 3,3′-(1,4-phenylene)bis[2-(6-chloropyridin-3-yl)prop-2-enenitrile] Based on DFT

A novel organic molecule, named as 3,3′-(1,4-phenylene)bis[2-(6-chloropyridin-3-yl)prop-2-enenitrile] (Pyr-CN)2B), having two pyridyl rings and cyano groups was designed and synthesized. Molecular structure, vibrational wavenumbers, electronic and Molecular Electrostatic Potential (MEP) properties of (Pyr-CN)2B molecule were investigated theoretically using Density Functional Theory (DFT). Experimental and theoretical results obtained from FT-IR, Raman and UV-Vis studies were compared to better explain the properties of the molecule. Chemical reactivity and high electron density due to the heteroatoms in its molecule structure, (Pyr-CN)2B molecule can be proposed as a candidate for many applications based on its chemical and electronic properties. In this scope, the effect of this functional molecule against coronavirus had been investigated by molecular docking studies. These studies had been performed to determine the interactions of the title molecule with the target macromolecule SARS-CoV-2 main protease (Mpro) inhibitor (PDB ID: 7C7P) where minimum binding energy was calculated as -7.30 kcal/mol.

A Computational Study of COVID-19 Detection using Colorimetric Plasmonic Sensors

Traditional molecular techniques for COVID-19 viral detection are time-consuming and can exhibit a high probability of false negatives. In this work, we present a computational study of COVID-19 detection using plasmonic gold nanoparticles. The resonance wavelength of a COVID-19 virion was recently estimated to be in the near-infrared region. By engineering gold nanospheres to bind with the outer surface of the COVID-19 virus specifically, the resonance frequency can be shifted to the visible range (380 nm-700 nm). Moreover, we show that broadband absorption will emerge in the visible spectrum when the virus is partially covered with gold nanoparticles at a certain percentage. This broadband absorption can be used to guide the development of an efficient and accurate colorimetric plasmon sensor for COVID-19 detection. © 2021 IEEE.

One-Pot Synthesis and Molecular Modeling Studies of New Bioactive Spiro-Oxindoles Based on Uracil Derivatives as SARS-CoV-2 Inhibitors Targeting RNA Polymerase and Spike Glycoprotein.

The first outbreak in Wuhan, China, in December 2019 was reported about severe acute coronaviral syndrome 2 (SARS-CoV-2). The global coronavirus disease 2019 (COVID-19) pandemic in 2020 resulted in an extremely high potential for dissemination. No drugs are validated in large-scale studies for significant effectiveness in the clinical treatment of COVID-19 patients, despite the worsening trends of COVID-19. This study aims to design a simple and efficient cyclo-condensation reaction of 6-aminouracil derivatives 2a-e and isatin derivatives 1a-c to synthesize spiro-oxindoles 3a-d, 4a-e, and 5a-e. All compounds were tested in vitro against the SARS-CoV-2. Four spiro[indoline-3,5'-pyrido[2,3-d:6,5-d']dipyrimidine derivatives 3a, 4b, 4d, and 4e showed high activities against the SARS-CoV-2 in plaque reduction assay and were subjected to further RNA-dependent-RNA-polymerase (RdRp) and spike glycoprotein inhibition assay investigations. The four compounds exhibited potent inhibitory activity ranging from 40.23 ± 0.09 to 44.90 ± 0.08 nM and 40.27 ± 0.17 to 44.83 ± 0.16 nM, respectively, when compared with chloroquine as a reference standard, which showed 45 ± 0.02 and 45 ± 0.06 nM against RdRp and spike glycoprotein, respectively. The computational study involving the docking studies of the binding mode inside two proteins ((RdRp) (PDB: 6m71), and (SGp) (PDB: 6VXX)) and geometrical optimization used to generate some molecular parameters were performed for the most active hybrids.

A multi-targeted approach to identify potential flavonoids against three targets in the SARS-CoV-2 life cycle.

The advent and persistence of the Severe Acute Respiratory Syndrome Coronavirus - 2 (SARS-CoV-2)-induced Coronavirus Disease (COVID-19) pandemic since December 2019 has created the largest public health emergency in over a century. Despite the administration of multiple vaccines across the globe, there continues to be a lack of approved efficacious non-prophylactic interventions for the disease. Flavonoids are a class of phytochemicals with historically established antiviral, anti-inflammatory and antioxidative properties that are effective against cancers, type 2 diabetes mellitus, and even other human coronaviruses. To identify the most promising bioactive flavonoids against the SARS-CoV-2, this article screened a virtual library of 46 bioactive flavonoids against three promising targets in the SARS-CoV-2 life cycle: human TMPRSS2 protein, 3CLpro, and PLpro. By examining the effects of glycosylation and other structural-activity relationships, the presence of sugar moiety in flavonoids significantly reduces its binding energy. It increases the solubility of flavonoids leading to reduced toxicity and higher bioavailability. Through protein-ligand contact profiling, it was concluded that naringin formed more hydrogen bonds with TMPRSS2 and 3CLpro. In contrast, hesperidin formed a more significant number of hydrogen bonds with PLpro. These observations were complimented by the 100 ns molecular dynamics simulation and binding free energy analysis, which showed a considerable stability of docked bioflavonoids in the active site of SARS-CoV-2 target proteins. Finally, the binding affinity and stability of the selected docked complexes were compared with the reference ligands (camostat for TMPRSS2, GC376 for 3CLpro, and GRL0617 for PLpro) that strongly inhibit their respective SARS-COV-2 targets. Overall analysis revealed that the selected flavonoids could be potential therapeutic agents against SARS-CoV-2. Naringin showed better affinity and stability for TMPRSS2 and 3CLpro, whereas hesperidin showed a better binding relationship and stability for PLpro.

New Pyrazine Conjugates: Synthesis, Computational Studies, and Antiviral Properties against SARS-CoV-2.

Currently, limited therapeutic options are available for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). We have developed a set of pyrazine-based small molecules. A series of pyrazine conjugates was synthesized by microwave-assisted click chemistry and benzotriazole chemistry. All the synthesized conjugates were screened against the SAR-CoV-2 virus and their cytotoxicity was determined. Computational studies were carried out to validate the biological data. Some of the pyrazine-triazole conjugates (5 d-g) and (S)-N-(1-(benzo[d]thiazol-2-yl)-2-phenylethyl)pyrazine-2-carboxamide 12 i show significant potency against SARS-CoV-2 among the synthesized conjugates. The selectivity index (SI) of potent conjugates indicates significant efficacy compared to the reference drug (Favipiravir).

α-Aminophosphonates 4-XC6H4-NH-CH(4-BrC6H4)-P(O)(OiPr)2 (X = H, Br, MeO): Crystal structures, Hirshfeld surface analysis, computational studies and in silico molecular docking with the SARS-CoV-2 proteins.

We report structural and computational studies of three α-aminophosphonates 4-XC6H4-NH-CH(4-BrC6H4)-P(O)(OiPr)2, namely diisopropyl((4-bromophenyl)(phenylamino)methyl)phosphonate (X = H, 1), diisopropyl((4-bromophenyl)((4-bromophenyl)amino)methyl)phosphonate (X = Br, 2) and diisopropyl((4-bromophenyl)((4-methoxyphenyl)amino)methyl)phosphonate (X = MeO, 3). The structures of 1-3 were fully confirmed by means of the 31P{1H} and 1H NMR spectroscopy. Crystal structures of 2 and 3 are isostructural and each contain two independent molecules in the asymmetric unit cell. Energy frameworks have been calculated to analyze the overall crystal packing of 1-3. The DFT calculations were performed to verify the structures of 1-3 as well as their electronic and optical properties. Molecular docking was applied to examine the influence of both the (S)- and (R)-enantiomers of 1-3 on a series of the SARS-CoV-2 proteins.

Computational Approaches to Discover Novel Natural Compounds for SARS-CoV-2 Therapeutics.

Scientists all over the world are facing a challenging task of finding effective therapeutics for the coronavirus disease (COVID-19). One of the fastest ways of finding putative drug candidates is the use of computational drug discovery approaches. The purpose of the current study is to retrieve natural compounds that have obeyed to drug-like properties as potential inhibitors. Computational molecular modelling techniques were employed to discover compounds with potential SARS-CoV-2 inhibition properties. Accordingly, the InterBioScreen (IBS) database was obtained and was prepared by minimizing the compounds. To the resultant compounds, the absorption, distribution, metabolism, excretion and toxicity (ADMET) and Lipinski's Rule of Five was applied to yield drug-like compounds. The obtained compounds were subjected to molecular dynamics simulation studies to evaluate their stabilities. In the current article, we have employed the docking based virtual screening method using InterBioScreen (IBS) natural compound database yielding two compounds has potential hits. These compounds have demonstrated higher binding affinity scores than the reference compound together with good pharmacokinetic properties. Additionally, the identified hits have displayed stable interaction results inferred by molecular dynamics simulation results. Taken together, we advocate the use of two natural compounds, STOCK1N-71493 and STOCK1N-45683 as SARS-CoV-2 treatment regime.