Page last updated: 2024-11-04

sennoside a&b and 2019 Novel Coronavirus Disease

sennoside a&b has been researched along with 2019 Novel Coronavirus Disease in 2 studies

Research

Studies (2)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's0 (0.00)29.6817
2010's0 (0.00)24.3611
2020's2 (100.00)2.80

Authors

AuthorsStudies
Alagarsamy, V4
Solomon, VR4
Sundar, PS4
Kulkarni, VS4
Sulthana, MT4
Aishwarya, AD4
Narendhar, B4
Murugesan, S4
Jubie, S1
Rohitha, K1
Dhanwar, S1

Other Studies

2 other studies available for sennoside a&b and 2019 Novel Coronavirus Disease

ArticleYear
Computational Search for Potential COVID-19 Drugs from Ayurvedic Medicinal Plants to Identify Potential Inhibitors against SARS-CoV-2 Targets.
    Current computer-aided drug design, 2023, Volume: 19, Issue:1

    Topics: Antiviral Agents; COVID-19; Molecular Docking Simulation; Molecular Dynamics Simulation; Oleanolic A

2023
Computational Search for Potential COVID-19 Drugs from Ayurvedic Medicinal Plants to Identify Potential Inhibitors against SARS-CoV-2 Targets.
    Current computer-aided drug design, 2023, Volume: 19, Issue:1

    Topics: Antiviral Agents; COVID-19; Molecular Docking Simulation; Molecular Dynamics Simulation; Oleanolic A

2023
Computational Search for Potential COVID-19 Drugs from Ayurvedic Medicinal Plants to Identify Potential Inhibitors against SARS-CoV-2 Targets.
    Current computer-aided drug design, 2023, Volume: 19, Issue:1

    Topics: Antiviral Agents; COVID-19; Molecular Docking Simulation; Molecular Dynamics Simulation; Oleanolic A

2023
Computational Search for Potential COVID-19 Drugs from Ayurvedic Medicinal Plants to Identify Potential Inhibitors against SARS-CoV-2 Targets.
    Current computer-aided drug design, 2023, Volume: 19, Issue:1

    Topics: Antiviral Agents; COVID-19; Molecular Docking Simulation; Molecular Dynamics Simulation; Oleanolic A

2023
Computational Search for Potential COVID-19 Drugs from Ayurvedic Medicinal Plants to Identify Potential Inhibitors against SARS-CoV-2 Targets.
    Current computer-aided drug design, 2023, Volume: 19, Issue:1

    Topics: Antiviral Agents; COVID-19; Molecular Docking Simulation; Molecular Dynamics Simulation; Oleanolic A

2023
Computational Search for Potential COVID-19 Drugs from Ayurvedic Medicinal Plants to Identify Potential Inhibitors against SARS-CoV-2 Targets.
    Current computer-aided drug design, 2023, Volume: 19, Issue:1

    Topics: Antiviral Agents; COVID-19; Molecular Docking Simulation; Molecular Dynamics Simulation; Oleanolic A

2023
Computational Search for Potential COVID-19 Drugs from Ayurvedic Medicinal Plants to Identify Potential Inhibitors against SARS-CoV-2 Targets.
    Current computer-aided drug design, 2023, Volume: 19, Issue:1

    Topics: Antiviral Agents; COVID-19; Molecular Docking Simulation; Molecular Dynamics Simulation; Oleanolic A

2023
Computational Search for Potential COVID-19 Drugs from Ayurvedic Medicinal Plants to Identify Potential Inhibitors against SARS-CoV-2 Targets.
    Current computer-aided drug design, 2023, Volume: 19, Issue:1

    Topics: Antiviral Agents; COVID-19; Molecular Docking Simulation; Molecular Dynamics Simulation; Oleanolic A

2023
Computational Search for Potential COVID-19 Drugs from Ayurvedic Medicinal Plants to Identify Potential Inhibitors against SARS-CoV-2 Targets.
    Current computer-aided drug design, 2023, Volume: 19, Issue:1

    Topics: Antiviral Agents; COVID-19; Molecular Docking Simulation; Molecular Dynamics Simulation; Oleanolic A

2023
An In silico Investigation to Identify Promising Inhibitors for SARS-CoV-2 M
    Medicinal chemistry (Shariqah (United Arab Emirates)), 2023, Volume: 19, Issue:9

    Topics: Chemistry, Pharmaceutical; COVID-19; Humans; Molecular Docking Simulation; Molecular Dynamics Simula

2023