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Frontiers in Pharmacology
|
May 14, 2023
Effective holistic characterization of small molecule effects using heterogeneous biological networks
William Mangione, Zackary Falls, Ram Samudrala
Physical Chemistry Chemical Physics : PCCP
|
August 16, 2016
Computational prediction and analysis of the (27)Al solid-state NMR spectrum of methylaluminoxane (MAO) at variable temperatures and field strengths
Zackary Falls, Eva Zurek, Jochen Autschbach
Frontiers in Pharmacology
|
September 12, 2022
Optimal COVID-19 therapeutic candidate discovery using the CANDO platform
William Mangione, Zackary Falls, Ram Samudrala
Frontiers in Chemistry
|
February 3, 2022
Accurate Prediction of Inhibitor Binding to HIV-1 Protease Using CANDOCK
Zackary Falls, Jonathan Fine, Gaurav Chopra, et al.
BMC Research Notes
|
June 9, 2019
Exploration of interaction scoring criteria in the CANDO platform
Zackary Falls, William Mangione, James Schuler, et al.
Biorxiv : the Preprint Server for Biology
|
February 12, 2026
Uncovering novel therapeutics for schizophrenia: a multitarget approach using the CANDO platform
Yakun Hu, Katherine Elefteriou, Zackary Falls, et al.
Pharmaceuticals (Basel, Switzerland)
|
December 28, 2021
A Deep-Learning Proteomic-Scale Approach for Drug Design
Brennan 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 Data
William 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 platforms
Melissa Van Norden, William Mangione, Zackary Falls, et al.
Expert Opinion on Drug Discovery
|
April 20, 2026
Combining cutting edge computational and experimental methods for targeting kras mutations in non-small cell lung cancer
Ram Samudrala, Liana Bruggemann, Zackary Falls, et al.
Page
of 4
Search research articles
Search
Showing results (1-10 of 36) with videos related to
Sort By:
Page
of 4
Frontiers in Pharmacology
|
May 14, 2023
Effective holistic characterization of small molecule effects using heterogeneous biological networks
William Mangione, Zackary Falls, Ram Samudrala
Physical Chemistry Chemical Physics : PCCP
|
August 16, 2016
Computational prediction and analysis of the (27)Al solid-state NMR spectrum of methylaluminoxane (MAO) at variable temperatures and field strengths
Zackary Falls, Eva Zurek, Jochen Autschbach
Frontiers in Pharmacology
|
September 12, 2022
Optimal COVID-19 therapeutic candidate discovery using the CANDO platform
William Mangione, Zackary Falls, Ram Samudrala
Frontiers in Chemistry
|
February 3, 2022
Accurate Prediction of Inhibitor Binding to HIV-1 Protease Using CANDOCK
Zackary Falls, Jonathan Fine, Gaurav Chopra, et al.
BMC Research Notes
|
June 9, 2019
Exploration of interaction scoring criteria in the CANDO platform
Zackary Falls, William Mangione, James Schuler, et al.
Biorxiv : the Preprint Server for Biology
|
February 12, 2026
Uncovering novel therapeutics for schizophrenia: a multitarget approach using the CANDO platform
Yakun Hu, Katherine Elefteriou, Zackary Falls, et al.
Pharmaceuticals (Basel, Switzerland)
|
December 28, 2021
A Deep-Learning Proteomic-Scale Approach for Drug Design
Brennan 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 Data
William 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 platforms
Melissa Van Norden, William Mangione, Zackary Falls, et al.
Expert Opinion on Drug Discovery
|
April 20, 2026
Combining cutting edge computational and experimental methods for targeting kras mutations in non-small cell lung cancer
Ram Samudrala, Liana Bruggemann, Zackary Falls, et al.
Page
of 4