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William Mangione

Showing results (1-10 of 14) with videos related to

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Molecules (Basel, Switzerland)|January 10, 2019
Identifying Protein Features Responsible for Improved Drug Repurposing Accuracies Using the CANDO Platform: Implications for Drug DesignWilliam Mangione, Ram Samudrala
Frontiers in Pharmacology|May 14, 2023
Effective holistic characterization of small molecule effects using heterogeneous biological networksWilliam Mangione, Zackary Falls, Ram Samudrala
Frontiers in Pharmacology|September 12, 2022
Optimal COVID-19 therapeutic candidate discovery using the CANDO platformWilliam Mangione, Zackary Falls, Ram Samudrala
BMC Research Notes|June 9, 2019
Exploration of interaction scoring criteria in the CANDO platformZackary Falls, William Mangione, James Schuler, et al.
Pharmaceuticals (Basel, Switzerland)|December 28, 2021
A Deep-Learning Proteomic-Scale Approach for Drug DesignBrennan Overhoff, Zackary Falls, William Mangione, et al.
Journal of Chemical Information and Modeling|June 10, 2020
cando.py: Open Source Software for Predictive Bioanalytics of Large Scale Drug-Protein-Disease DataWilliam Mangione, Zackary Falls, Gaurav Chopra, et al.
Biorxiv : the Preprint Server for Biology|January 7, 2025
Strategies for robust, accurate, and generalizable benchmarking of drug discovery platformsMelissa Van Norden, William Mangione, Zackary Falls, et al.
Bioinformatics (Oxford, England)|November 8, 2025
Strategies for robust, accurate, and generalizable benchmarking of drug discovery platformsMelissa Van Norden, William Mangione, Zackary Falls, et al.
Drug Discovery Today|August 17, 2021
Evaluating the performance of drug-repurposing technologiesJames Schuler, Zackary Falls, William Mangione, et al.
Molecules (Basel, Switzerland)|May 14, 2022
Identifying Protein Features and Pathways Responsible for Toxicity Using Machine Learning and Tox21: Implications for Predictive ToxicologyLama Moukheiber, William Mangione, Mira Moukheiber, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Molecules (Basel, Switzerland)|January 10, 2019
Identifying Protein Features Responsible for Improved Drug Repurposing Accuracies Using the CANDO Platform: Implications for Drug DesignWilliam Mangione, Ram Samudrala
Frontiers in Pharmacology|May 14, 2023
Effective holistic characterization of small molecule effects using heterogeneous biological networksWilliam Mangione, Zackary Falls, Ram Samudrala
Frontiers in Pharmacology|September 12, 2022
Optimal COVID-19 therapeutic candidate discovery using the CANDO platformWilliam Mangione, Zackary Falls, Ram Samudrala
BMC Research Notes|June 9, 2019
Exploration of interaction scoring criteria in the CANDO platformZackary Falls, William Mangione, James Schuler, et al.
Pharmaceuticals (Basel, Switzerland)|December 28, 2021
A Deep-Learning Proteomic-Scale Approach for Drug DesignBrennan Overhoff, Zackary Falls, William Mangione, et al.
Journal of Chemical Information and Modeling|June 10, 2020
cando.py: Open Source Software for Predictive Bioanalytics of Large Scale Drug-Protein-Disease DataWilliam Mangione, Zackary Falls, Gaurav Chopra, et al.
Biorxiv : the Preprint Server for Biology|January 7, 2025
Strategies for robust, accurate, and generalizable benchmarking of drug discovery platformsMelissa Van Norden, William Mangione, Zackary Falls, et al.
Bioinformatics (Oxford, England)|November 8, 2025
Strategies for robust, accurate, and generalizable benchmarking of drug discovery platformsMelissa Van Norden, William Mangione, Zackary Falls, et al.
Drug Discovery Today|August 17, 2021
Evaluating the performance of drug-repurposing technologiesJames Schuler, Zackary Falls, William Mangione, et al.
Molecules (Basel, Switzerland)|May 14, 2022
Identifying Protein Features and Pathways Responsible for Toxicity Using Machine Learning and Tox21: Implications for Predictive ToxicologyLama Moukheiber, William Mangione, Mira Moukheiber, et al.
Pageof 2