Computational Approach to Target SARS-CoV-2 Proteins Using Bioactives Derived from Nerium indicum

SARS-CoV-2 spreads through inhalation or contact with infected individuals, with its receptor-binding domain (RBD) facilitating cell entry and causing severe effects. In order to identify a better ailment for this disease, the current study has been made using In-silico tools to predict the interact...

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Main Authors: Khader Syed Zameer Ahmed, Syed Zameer Ahmed Sidhra, Saravanan Priya Dharshini, Rajan Preethi, Ravichandran Kaviya, Chandrasekaran Surya, Sivakumar Vaishnavi
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:BIO Web of Conferences
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Online Access:https://www.bio-conferences.org/articles/bioconf/pdf/2025/23/bioconf_nittebio2025_02011.pdf
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author Khader Syed Zameer Ahmed
Syed Zameer Ahmed Sidhra
Saravanan Priya Dharshini
Rajan Preethi
Ravichandran Kaviya
Chandrasekaran Surya
Sivakumar Vaishnavi
author_facet Khader Syed Zameer Ahmed
Syed Zameer Ahmed Sidhra
Saravanan Priya Dharshini
Rajan Preethi
Ravichandran Kaviya
Chandrasekaran Surya
Sivakumar Vaishnavi
author_sort Khader Syed Zameer Ahmed
collection DOAJ
description SARS-CoV-2 spreads through inhalation or contact with infected individuals, with its receptor-binding domain (RBD) facilitating cell entry and causing severe effects. In order to identify a better ailment for this disease, the current study has been made using In-silico tools to predict the interaction of SARS-CoV-2 with natural ligand C-1: N-(4-Hydroxyphenyl)-2-methoxy-2-phenyl-acetamide and C-2: N-(4-Hydroxy-phenyl)-2-phenyl-N-phenylacetyl-acetamide of Nerium indicum as it is concerned with the antiviral property. The target proteins such as Glycoprotein (2GHV), Spike S3 (6LVN) and Protease (5RE5, 5RE8, 5RE9, 5REA, 5REB, 5REE, 5REF, 5REK) were docked against ligands. The results reveals that C-1 and C-2 has the high binding from -4.2 Kcal/mol to -8.1 Kcal/mol than the standard (Fingolimod). The protein 5REA has a highest binding affinity of -8.1 Kcal/ mol with C-2, indicating significant potential for interaction. Further, Molecular Simulation studies were conducted to determine the stability of proteins based on physiological conditions such as potential, temperature, pressure and density. The obtained values ranging from -2.20971E+06 kJ/mol to -1.55E+11 kJ/mol, 299.943 K to 299.68 K, 3.25424 bar to -7.26344 bar to and 1014.98 kg/m³ to 1012.33 kg/m³ determines the flexibility of protein structures and proves that the N. indicum compounds can be a potential drug against SARS-CoV-2.
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spelling doaj-art-e7fc713516834785b520a24de85e51d92025-08-20T02:16:29ZengEDP SciencesBIO Web of Conferences2117-44582025-01-011720201110.1051/bioconf/202517202011bioconf_nittebio2025_02011Computational Approach to Target SARS-CoV-2 Proteins Using Bioactives Derived from Nerium indicumKhader Syed Zameer Ahmed0Syed Zameer Ahmed Sidhra1Saravanan Priya Dharshini2Rajan Preethi3Ravichandran Kaviya4Chandrasekaran Surya5Sivakumar Vaishnavi6Department of Biotechnology, K.S.Rangasamy College of TechnologyDepartment of Biotechnology, K.S.Rangasamy College of TechnologyDepartment of Biotechnology, K.S.Rangasamy College of TechnologyDepartment of Biotechnology, K.S.Rangasamy College of TechnologyDepartment of Biotechnology, K.S.Rangasamy College of TechnologyDepartment of Biotechnology, K.S.Rangasamy College of TechnologyDepartment of Biotechnology, K.S.Rangasamy College of TechnologySARS-CoV-2 spreads through inhalation or contact with infected individuals, with its receptor-binding domain (RBD) facilitating cell entry and causing severe effects. In order to identify a better ailment for this disease, the current study has been made using In-silico tools to predict the interaction of SARS-CoV-2 with natural ligand C-1: N-(4-Hydroxyphenyl)-2-methoxy-2-phenyl-acetamide and C-2: N-(4-Hydroxy-phenyl)-2-phenyl-N-phenylacetyl-acetamide of Nerium indicum as it is concerned with the antiviral property. The target proteins such as Glycoprotein (2GHV), Spike S3 (6LVN) and Protease (5RE5, 5RE8, 5RE9, 5REA, 5REB, 5REE, 5REF, 5REK) were docked against ligands. The results reveals that C-1 and C-2 has the high binding from -4.2 Kcal/mol to -8.1 Kcal/mol than the standard (Fingolimod). The protein 5REA has a highest binding affinity of -8.1 Kcal/ mol with C-2, indicating significant potential for interaction. Further, Molecular Simulation studies were conducted to determine the stability of proteins based on physiological conditions such as potential, temperature, pressure and density. The obtained values ranging from -2.20971E+06 kJ/mol to -1.55E+11 kJ/mol, 299.943 K to 299.68 K, 3.25424 bar to -7.26344 bar to and 1014.98 kg/m³ to 1012.33 kg/m³ determines the flexibility of protein structures and proves that the N. indicum compounds can be a potential drug against SARS-CoV-2.https://www.bio-conferences.org/articles/bioconf/pdf/2025/23/bioconf_nittebio2025_02011.pdfsars-cov-2coronavirusswiss admet analysismolecular dockingenergy minimization on gromacs
spellingShingle Khader Syed Zameer Ahmed
Syed Zameer Ahmed Sidhra
Saravanan Priya Dharshini
Rajan Preethi
Ravichandran Kaviya
Chandrasekaran Surya
Sivakumar Vaishnavi
Computational Approach to Target SARS-CoV-2 Proteins Using Bioactives Derived from Nerium indicum
BIO Web of Conferences
sars-cov-2
coronavirus
swiss admet analysis
molecular docking
energy minimization on gromacs
title Computational Approach to Target SARS-CoV-2 Proteins Using Bioactives Derived from Nerium indicum
title_full Computational Approach to Target SARS-CoV-2 Proteins Using Bioactives Derived from Nerium indicum
title_fullStr Computational Approach to Target SARS-CoV-2 Proteins Using Bioactives Derived from Nerium indicum
title_full_unstemmed Computational Approach to Target SARS-CoV-2 Proteins Using Bioactives Derived from Nerium indicum
title_short Computational Approach to Target SARS-CoV-2 Proteins Using Bioactives Derived from Nerium indicum
title_sort computational approach to target sars cov 2 proteins using bioactives derived from nerium indicum
topic sars-cov-2
coronavirus
swiss admet analysis
molecular docking
energy minimization on gromacs
url https://www.bio-conferences.org/articles/bioconf/pdf/2025/23/bioconf_nittebio2025_02011.pdf
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