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

Steven A Spronk

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

Pageof 2
Sort By:
Proteins|May 19, 2011
The role of tyrosine 71 in modulating the flap conformations of BACE1Steven A Spronk, Heather A Carlson
Biophysical Journal|February 28, 2006
Voltage-dependent hydration and conduction properties of the hydrophobic pore of the mechanosensitive channel of small conductanceSteven A Spronk, Donald E Elmore, Dennis A Dougherty
Journal of Chemical Information and Modeling|December 16, 2020
Electron-Passing Neural Networks for Atomic Charge Prediction in Systems with Arbitrary Molecular ChargeDerek P Metcalf, Andy Jiang, Steven A Spronk, et al.
Scientific Data|September 12, 2023
A quantum chemical interaction energy dataset for accurately modeling protein-ligand interactionsSteven A Spronk, Zachary L Glick, Derek P Metcalf, et al.
Journal of Chemical Information and Modeling|July 21, 2017
Improving Accuracy, Diversity, and Speed with Prime Macrocycle Conformational SamplingDan Sindhikara, Steven A Spronk, Tyler Day, et al.
The Journal of Chemical Physics|July 9, 2021
CLIFF: A component-based, machine-learned, intermolecular force fieldJeffrey B Schriber, Daniel R Nascimento, Alexios Koutsoukas, et al.
The Journal of Chemical Physics|August 6, 2020
AP-Net: An atomic-pairwise neural network for smooth and transferable interaction potentialsZachary L Glick, Derek P Metcalf, Alexios Koutsoukas, et al.
Chemical Science|August 26, 2024
A physics-aware neural network for protein-ligand interactions with quantum chemical accuracyZachary L Glick, Derek P Metcalf, Caroline S Glick, et al.
The Journal of Chemical Physics|February 24, 2020
Approaches for machine learning intermolecular interaction energies and application to energy components from symmetry adapted perturbation theoryDerek P Metcalf, Alexios Koutsoukas, Steven A Spronk, et al.
Bioorganic & Medicinal Chemistry|October 2, 2020
Discovery and structure activity relationships of 7-benzyl triazolopyridines as stable, selective, and reversible inhibitors of myeloperoxidaseScott A Shaw, Benjamin P Vokits, Andrew K Dilger, et al.
Pageof 2

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

Sort By:
Pageof 2
Proteins|May 19, 2011
The role of tyrosine 71 in modulating the flap conformations of BACE1Steven A Spronk, Heather A Carlson
Biophysical Journal|February 28, 2006
Voltage-dependent hydration and conduction properties of the hydrophobic pore of the mechanosensitive channel of small conductanceSteven A Spronk, Donald E Elmore, Dennis A Dougherty
Journal of Chemical Information and Modeling|December 16, 2020
Electron-Passing Neural Networks for Atomic Charge Prediction in Systems with Arbitrary Molecular ChargeDerek P Metcalf, Andy Jiang, Steven A Spronk, et al.
Scientific Data|September 12, 2023
A quantum chemical interaction energy dataset for accurately modeling protein-ligand interactionsSteven A Spronk, Zachary L Glick, Derek P Metcalf, et al.
Journal of Chemical Information and Modeling|July 21, 2017
Improving Accuracy, Diversity, and Speed with Prime Macrocycle Conformational SamplingDan Sindhikara, Steven A Spronk, Tyler Day, et al.
The Journal of Chemical Physics|July 9, 2021
CLIFF: A component-based, machine-learned, intermolecular force fieldJeffrey B Schriber, Daniel R Nascimento, Alexios Koutsoukas, et al.
The Journal of Chemical Physics|August 6, 2020
AP-Net: An atomic-pairwise neural network for smooth and transferable interaction potentialsZachary L Glick, Derek P Metcalf, Alexios Koutsoukas, et al.
Chemical Science|August 26, 2024
A physics-aware neural network for protein-ligand interactions with quantum chemical accuracyZachary L Glick, Derek P Metcalf, Caroline S Glick, et al.
The Journal of Chemical Physics|February 24, 2020
Approaches for machine learning intermolecular interaction energies and application to energy components from symmetry adapted perturbation theoryDerek P Metcalf, Alexios Koutsoukas, Steven A Spronk, et al.
Bioorganic & Medicinal Chemistry|October 2, 2020
Discovery and structure activity relationships of 7-benzyl triazolopyridines as stable, selective, and reversible inhibitors of myeloperoxidaseScott A Shaw, Benjamin P Vokits, Andrew K Dilger, et al.
Pageof 2