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Madhvi Shakya

Showing results (1-10 of 11) with videos related to

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Indian Journal of Psychiatry|February 9, 2022
Transcriptomics and sequencing analysis of gene expression profiling for major depressive disorderPragya Verma, Madhvi Shakya
Bioinformation|October 27, 2010
Model based design of inhibitors for c-junPallavi Chauhan, Madhvi Shakya
Bioinformation|March 3, 2011
Structure prediction of dihydroflavonol 4- reductase and anthocyanidin synthase from spinachArchna Sahay, Madhvi Shakya
Cognitive Neurodynamics|April 11, 2022
Machine learning model for predicting Major Depressive Disorder using RNA-Seq data: optimization of classification approachPragya Verma, Madhvi Shakya
Indian Journal of Dermatology, Venereology and Leprology|September 9, 2009
Modeling signaling pathways leading to wrinkle formation: identification of the skin aging targetPallavi Chauhan, Madhvi Shakya
Journal of Theoretical Biology|October 17, 2009
Protein interaction network analysis--approach for potential drug target identification in Mycobacterium tuberculosisSandeep K Kushwaha, Madhvi Shakya
Bioinformation|September 18, 2009
PINAT1.0: protein interaction network analysis toolSandeep K Kushwaha, Madhvi Shakya
Cell Biochemistry and Biophysics|June 8, 2014
Comparative evolutionary analysis of cell cycle proteins networks in fission and budding yeastPraveen K Singh, Madhvi Shakya
Molecular Diversity|March 9, 2025
Computational modelling of a multiepitope vaccine targeting glycoprotein-D for herpes simplex virus 2 (HSV-2): an immunoinformatic analysisMohd Sultan Khan, Madhvi Shakya, Chandan Kumar Verma
Virusdisease|December 16, 2024
Exploring immunogenic CD8 + T-cell epitopes for peptide-based vaccine development against evolving SARS-CoV-2 variants: An immunoinformatics approachMohd Sultan Khan, Madhvi Shakya, Chandan Kumar Verma
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Indian Journal of Psychiatry|February 9, 2022
Transcriptomics and sequencing analysis of gene expression profiling for major depressive disorderPragya Verma, Madhvi Shakya
Bioinformation|October 27, 2010
Model based design of inhibitors for c-junPallavi Chauhan, Madhvi Shakya
Bioinformation|March 3, 2011
Structure prediction of dihydroflavonol 4- reductase and anthocyanidin synthase from spinachArchna Sahay, Madhvi Shakya
Cognitive Neurodynamics|April 11, 2022
Machine learning model for predicting Major Depressive Disorder using RNA-Seq data: optimization of classification approachPragya Verma, Madhvi Shakya
Indian Journal of Dermatology, Venereology and Leprology|September 9, 2009
Modeling signaling pathways leading to wrinkle formation: identification of the skin aging targetPallavi Chauhan, Madhvi Shakya
Journal of Theoretical Biology|October 17, 2009
Protein interaction network analysis--approach for potential drug target identification in Mycobacterium tuberculosisSandeep K Kushwaha, Madhvi Shakya
Bioinformation|September 18, 2009
PINAT1.0: protein interaction network analysis toolSandeep K Kushwaha, Madhvi Shakya
Cell Biochemistry and Biophysics|June 8, 2014
Comparative evolutionary analysis of cell cycle proteins networks in fission and budding yeastPraveen K Singh, Madhvi Shakya
Molecular Diversity|March 9, 2025
Computational modelling of a multiepitope vaccine targeting glycoprotein-D for herpes simplex virus 2 (HSV-2): an immunoinformatic analysisMohd Sultan Khan, Madhvi Shakya, Chandan Kumar Verma
Virusdisease|December 16, 2024
Exploring immunogenic CD8 + T-cell epitopes for peptide-based vaccine development against evolving SARS-CoV-2 variants: An immunoinformatics approachMohd Sultan Khan, Madhvi Shakya, Chandan Kumar Verma
Pageof 2