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Journal of Molecular Graphics & Modelling
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September 27, 2016
A mechanistic approach to explore novel HDAC1 inhibitor using pharmacophore modeling, 3D- QSAR analysis, molecular docking, density functional and molecular dynamics simulation study
Sanjay K Choubey, Jeyakanthan Jeyaraman
Combinatorial Chemistry & High Throughput Screening
|
May 19, 2023
HTNpedia: A Knowledge Base for Hypertension Research
Lakshmanan Loganathan, Jeyakanthan Jeyaraman, Karthikeyan Muthusamy
Journal of Molecular Graphics & Modelling
|
March 25, 2025
Exploring phytochemicals and marine natural products as alternative therapeutic agents targeting phosphotransacetylase (PTA) in Mycobacterium tuberculosis: An underexplored drug target
Sneha Subramaniyan, Manikandan Jayaraman, Jeyakanthan Jeyaraman
Expert Review of Medical Devices
|
March 20, 2026
Advancing digital mental healthcare: the role of artificial intelligence and natural language processing in powering medical chatbots for future healthcare interventions
Maharaja Muthuvairam Subbulakshmi, Manikandan Jayaraman, Jeyakanthan Jeyaraman
Bioinformation
|
August 16, 2018
Insights from the Molecular modeling, docking analysis of illicit drugs and Bomb Compounds with Honey Bee Odorant Binding Proteins (OBPs)
Kulanthaivel Langeswaran, Jeyakanthan Jeyaraman, Richard Mariadasse, et al.
Archives of Biochemistry and Biophysics
|
September 26, 2024
Harnessing marine natural products to inhibit PAD4 triple mutant: A structure-based virtual screening approach for rheumatoid arthritis therapy
Santhiya Panchalingam, Manikandan Jayaraman, Jeyakanthan Jeyaraman, et al.
Computational Biology and Chemistry
|
December 12, 2023
Computational insights into potential marine natural products as selective inhibitors of Mycobacterium tuberculosis InhA: A structure-based virtual screening study
Manikandan Jayaraman, Vijayakumar Gosu, Rajalakshmi Kumar, et al.
Computers in Biology and Medicine
|
January 17, 2026
Machine learning guided structural dynamics identifies translation elongation factor 1 (EEF1A1) as an immunological biomarker and marine natural products as therapeutic leads for rheumatoid arthritis with major depressive disorder
Santhiya Panchalingam, Govindaraju Kasivelu, Manikandan Jayaraman, et al.
Computational Biology and Chemistry
|
April 14, 2024
Mechanistic insights into the conformational changes and alterations in residual communications due to the mutations in the pncA Gene of Mycobacterium tuberculosis: A computational perspective for effective therapeutic solutions
Manikandan Jayaraman, Rajalakshmi Kumar, Santhiya Panchalingam, et al.
Computational Biology and Chemistry
|
September 6, 2023
Multilayer precision-based screening of potential inhibitors targeting Mycobacterium tuberculosis acetate kinase using in silico approaches
Sneha Subramaniyan, Hemavathy Nagarajan, Umashankar Vetrivel, et al.
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of 6
Search research articles
Search
Showing results (1-10 of 57) with videos related to
Sort By:
Page
of 6
Journal of Molecular Graphics & Modelling
|
September 27, 2016
A mechanistic approach to explore novel HDAC1 inhibitor using pharmacophore modeling, 3D- QSAR analysis, molecular docking, density functional and molecular dynamics simulation study
Sanjay K Choubey, Jeyakanthan Jeyaraman
Combinatorial Chemistry & High Throughput Screening
|
May 19, 2023
HTNpedia: A Knowledge Base for Hypertension Research
Lakshmanan Loganathan, Jeyakanthan Jeyaraman, Karthikeyan Muthusamy
Journal of Molecular Graphics & Modelling
|
March 25, 2025
Exploring phytochemicals and marine natural products as alternative therapeutic agents targeting phosphotransacetylase (PTA) in Mycobacterium tuberculosis: An underexplored drug target
Sneha Subramaniyan, Manikandan Jayaraman, Jeyakanthan Jeyaraman
Expert Review of Medical Devices
|
March 20, 2026
Advancing digital mental healthcare: the role of artificial intelligence and natural language processing in powering medical chatbots for future healthcare interventions
Maharaja Muthuvairam Subbulakshmi, Manikandan Jayaraman, Jeyakanthan Jeyaraman
Bioinformation
|
August 16, 2018
Insights from the Molecular modeling, docking analysis of illicit drugs and Bomb Compounds with Honey Bee Odorant Binding Proteins (OBPs)
Kulanthaivel Langeswaran, Jeyakanthan Jeyaraman, Richard Mariadasse, et al.
Archives of Biochemistry and Biophysics
|
September 26, 2024
Harnessing marine natural products to inhibit PAD4 triple mutant: A structure-based virtual screening approach for rheumatoid arthritis therapy
Santhiya Panchalingam, Manikandan Jayaraman, Jeyakanthan Jeyaraman, et al.
Computational Biology and Chemistry
|
December 12, 2023
Computational insights into potential marine natural products as selective inhibitors of Mycobacterium tuberculosis InhA: A structure-based virtual screening study
Manikandan Jayaraman, Vijayakumar Gosu, Rajalakshmi Kumar, et al.
Computers in Biology and Medicine
|
January 17, 2026
Machine learning guided structural dynamics identifies translation elongation factor 1 (EEF1A1) as an immunological biomarker and marine natural products as therapeutic leads for rheumatoid arthritis with major depressive disorder
Santhiya Panchalingam, Govindaraju Kasivelu, Manikandan Jayaraman, et al.
Computational Biology and Chemistry
|
April 14, 2024
Mechanistic insights into the conformational changes and alterations in residual communications due to the mutations in the pncA Gene of Mycobacterium tuberculosis: A computational perspective for effective therapeutic solutions
Manikandan Jayaraman, Rajalakshmi Kumar, Santhiya Panchalingam, et al.
Computational Biology and Chemistry
|
September 6, 2023
Multilayer precision-based screening of potential inhibitors targeting Mycobacterium tuberculosis acetate kinase using in silico approaches
Sneha Subramaniyan, Hemavathy Nagarajan, Umashankar Vetrivel, et al.
Page
of 6