Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Austin Clyde

Showing results (1-10 of 16) with videos related to

Pageof 2
Sort By:
Methods in Molecular Biology (Clifton, N.J.)|November 3, 2021
Ultrahigh Throughput Protein-Ligand Docking with Deep LearningAustin Clyde
Patterns (New York, N.Y.)|February 24, 2022
AI for science and global citizensAustin Clyde
Frontiers in Medicine|March 6, 2023
Deep learning methods for drug response prediction in cancer: Predominant and emerging trendsAlexander Partin, Thomas S Brettin, Yitan Zhu, et al.
Cancers|January 11, 2024
Integration of Computational Docking into Anti-Cancer Drug Response Prediction ModelsOleksandr Narykov, Yitan Zhu, Thomas Brettin, et al.
BMC Bioinformatics|May 18, 2021
Learning curves for drug response prediction in cancer cell linesAlexander Partin, Thomas Brettin, Yvonne A Evrard, et al.
Scientific Reports|February 6, 2023
AI-accelerated protein-ligand docking for SARS-CoV-2 is 100-fold faster with no significant change in detectionAustin Clyde, Xuefeng Liu, Thomas Brettin, et al.
Journal of Medicinal Chemistry|October 27, 2021
Structural, Electronic, and Electrostatic Determinants for Inhibitor Binding to Subsites S1 and S2 in SARS-CoV-2 Main ProteaseDaniel W Kneller, Hui Li, Stephanie Galanie, et al.
Briefings in Bioinformatics|September 15, 2021
A cross-study analysis of drug response prediction in cancer cell linesFangfang Xia, Jonathan Allen, Prasanna Balaprakash, et al.
Journal of Chemical Information and Modeling|February 22, 2023
AI-Accelerated Design of Targeted Covalent Inhibitors for SARS-CoV-2Rajendra P Joshi, Katherine J Schultz, Jesse William Wilson, et al.
Journal of Chemical Information and Modeling|November 18, 2021
High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent InhibitorAustin Clyde, Stephanie Galanie, Daniel W Kneller, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Methods in Molecular Biology (Clifton, N.J.)|November 3, 2021
Ultrahigh Throughput Protein-Ligand Docking with Deep LearningAustin Clyde
Patterns (New York, N.Y.)|February 24, 2022
AI for science and global citizensAustin Clyde
Frontiers in Medicine|March 6, 2023
Deep learning methods for drug response prediction in cancer: Predominant and emerging trendsAlexander Partin, Thomas S Brettin, Yitan Zhu, et al.
Cancers|January 11, 2024
Integration of Computational Docking into Anti-Cancer Drug Response Prediction ModelsOleksandr Narykov, Yitan Zhu, Thomas Brettin, et al.
BMC Bioinformatics|May 18, 2021
Learning curves for drug response prediction in cancer cell linesAlexander Partin, Thomas Brettin, Yvonne A Evrard, et al.
Scientific Reports|February 6, 2023
AI-accelerated protein-ligand docking for SARS-CoV-2 is 100-fold faster with no significant change in detectionAustin Clyde, Xuefeng Liu, Thomas Brettin, et al.
Journal of Medicinal Chemistry|October 27, 2021
Structural, Electronic, and Electrostatic Determinants for Inhibitor Binding to Subsites S1 and S2 in SARS-CoV-2 Main ProteaseDaniel W Kneller, Hui Li, Stephanie Galanie, et al.
Briefings in Bioinformatics|September 15, 2021
A cross-study analysis of drug response prediction in cancer cell linesFangfang Xia, Jonathan Allen, Prasanna Balaprakash, et al.
Journal of Chemical Information and Modeling|February 22, 2023
AI-Accelerated Design of Targeted Covalent Inhibitors for SARS-CoV-2Rajendra P Joshi, Katherine J Schultz, Jesse William Wilson, et al.
Journal of Chemical Information and Modeling|November 18, 2021
High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent InhibitorAustin Clyde, Stephanie Galanie, Daniel W Kneller, et al.
Pageof 2