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Briefings in Bioinformatics
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July 5, 2016
A comprehensive overview of computational resources to aid in precision genome editing with engineered nucleases
Vinita Periwal
Methods in Molecular Biology (Clifton, N.J.)
|
December 8, 2016
Machine Learning Approaches Toward Building Predictive Models for Small Molecule Modulators of miRNA and Its Utility in Virtual Screening of Molecular Databases
Vinita Periwal, Vinod Scaria
Bioinformatics (Oxford, England)
|
September 6, 2014
Insights into structural variations and genome rearrangements in prokaryotic genomes
Vinita Periwal, Vinod Scaria
BMC Bioinformatics
|
February 20, 2013
Predictive modeling of anti-malarial molecules inhibiting apicoplast formation
Salma Jamal, Vinita Periwal, , et al.
Journal of Cheminformatics
|
August 15, 2012
Computational analysis and predictive modeling of small molecule modulators of microRNA
Salma Jamal, Vinita Periwal, , et al.
BMC Pharmacology
|
April 3, 2012
Computational models for in-vitro anti-tubercular activity of molecules based on high-throughput chemical biology screening datasets
Vinita Periwal, Shireesha Kishtapuram, , et al.
BMC Research Notes
|
November 22, 2011
Predictive models for anti-tubercular molecules using machine learning on high-throughput biological screening datasets
Vinita Periwal, Jinuraj K Rajappan, , et al.
Journal of Molecular Modeling
|
August 10, 2011
3D-QSAR based pharmacophore modeling and virtual screening for identification of novel pteridine reductase inhibitors
Divya Dube, Vinita Periwal, Mukesh Kumar, et al.
Plos Computational Biology
|
April 25, 2022
Bioactivity assessment of natural compounds using machine learning models trained on target similarity between drugs
Vinita Periwal, Stefan Bassler, Sergej Andrejev, et al.
BMC Research Notes
|
January 10, 2012
De novo identification of viral pathogens from cell culture hologenomes
Ashok Patowary, Rajendra Kumar Chauhan, Meghna Singh, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 14) with videos related to
Sort By:
Page
of 2
Briefings in Bioinformatics
|
July 5, 2016
A comprehensive overview of computational resources to aid in precision genome editing with engineered nucleases
Vinita Periwal
Methods in Molecular Biology (Clifton, N.J.)
|
December 8, 2016
Machine Learning Approaches Toward Building Predictive Models for Small Molecule Modulators of miRNA and Its Utility in Virtual Screening of Molecular Databases
Vinita Periwal, Vinod Scaria
Bioinformatics (Oxford, England)
|
September 6, 2014
Insights into structural variations and genome rearrangements in prokaryotic genomes
Vinita Periwal, Vinod Scaria
BMC Bioinformatics
|
February 20, 2013
Predictive modeling of anti-malarial molecules inhibiting apicoplast formation
Salma Jamal, Vinita Periwal, , et al.
Journal of Cheminformatics
|
August 15, 2012
Computational analysis and predictive modeling of small molecule modulators of microRNA
Salma Jamal, Vinita Periwal, , et al.
BMC Pharmacology
|
April 3, 2012
Computational models for in-vitro anti-tubercular activity of molecules based on high-throughput chemical biology screening datasets
Vinita Periwal, Shireesha Kishtapuram, , et al.
BMC Research Notes
|
November 22, 2011
Predictive models for anti-tubercular molecules using machine learning on high-throughput biological screening datasets
Vinita Periwal, Jinuraj K Rajappan, , et al.
Journal of Molecular Modeling
|
August 10, 2011
3D-QSAR based pharmacophore modeling and virtual screening for identification of novel pteridine reductase inhibitors
Divya Dube, Vinita Periwal, Mukesh Kumar, et al.
Plos Computational Biology
|
April 25, 2022
Bioactivity assessment of natural compounds using machine learning models trained on target similarity between drugs
Vinita Periwal, Stefan Bassler, Sergej Andrejev, et al.
BMC Research Notes
|
January 10, 2012
De novo identification of viral pathogens from cell culture hologenomes
Ashok Patowary, Rajendra Kumar Chauhan, Meghna Singh, et al.
Page
of 2