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Biophysical Journal
|
December 18, 2024
IP6, PF74 affect HIV-1 capsid stability through modulation of hexamer-hexamer tilt angle preference
Chris M Garza, Matthew Holcomb, Diogo Santos-Martins, et al.
Biorxiv : the Preprint Server for Biology
|
April 1, 2024
IP6 and PF74 affect HIV-1 Capsid Stability through Modulation of Hexamer-Hexamer Tilt Angle Preference
Chris M Garza, Matthew Holcomb, Diogo Santos-Martins, et al.
Plos Computational Biology
|
December 3, 2015
AutoDockFR: Advances in Protein-Ligand Docking with Explicitly Specified Binding Site Flexibility
Pradeep Anand Ravindranath, Stefano Forli, David S Goodsell, et al.
Journal of Chemical Information and Modeling
|
July 8, 2016
Fragment-Based Analysis of Ligand Dockings Improves Classification of Actives
Richard K Belew, Stefano Forli, David S Goodsell, et al.
Journal of Computer-Aided Molecular Design
|
February 5, 2014
Virtual screening with AutoDock Vina and the common pharmacophore engine of a low diversity library of fragments and hits against the three allosteric sites of HIV integrase: participation in the SAMPL4 protein-ligand binding challenge
Alexander L Perryman, Daniel N Santiago, Stefano Forli, et al.
Protein Science : a Publication of the Protein Society
|
February 25, 2025
Docking guidance with experimental ligand structural density improves docking pose prediction and virtual screening performance
Althea T Hansel-Harris, Andreas F Tillack, Diogo Santos-Martins, et al.
Journal of Computational Chemistry
|
March 19, 2024
Synergy of machine learning and density functional theory calculations for predicting experimental Lewis base affinity and Lewis polybase binding atoms
Hieu Huynh, Khanh Le, Linh Vu, et al.
Journal of Chemical Information and Modeling
|
August 28, 2023
Reactive Docking: A Computational Method for High-Throughput Virtual Screenings of Reactive Species
Giulia Bianco, Matthew Holcomb, Diogo Santos-Martins, et al.
Expert Opinion on Drug Discovery
|
May 3, 2011
Virtual Screening with AutoDock: Theory and Practice
Sandro Cosconati, Stefano Forli, Alex L Perryman, et al.
Parallel Computing
|
December 13, 2021
Benchmarking the Performance of Irregular Computations in AutoDock-GPU Molecular Docking
Leonardo Solis-Vasquez, Andreas F Tillack, Diogo Santos-Martins, et al.
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Search research articles
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Showing results (31-40 of 113) with videos related to
Sort By:
Page
of 12
Biophysical Journal
|
December 18, 2024
IP6, PF74 affect HIV-1 capsid stability through modulation of hexamer-hexamer tilt angle preference
Chris M Garza, Matthew Holcomb, Diogo Santos-Martins, et al.
Biorxiv : the Preprint Server for Biology
|
April 1, 2024
IP6 and PF74 affect HIV-1 Capsid Stability through Modulation of Hexamer-Hexamer Tilt Angle Preference
Chris M Garza, Matthew Holcomb, Diogo Santos-Martins, et al.
Plos Computational Biology
|
December 3, 2015
AutoDockFR: Advances in Protein-Ligand Docking with Explicitly Specified Binding Site Flexibility
Pradeep Anand Ravindranath, Stefano Forli, David S Goodsell, et al.
Journal of Chemical Information and Modeling
|
July 8, 2016
Fragment-Based Analysis of Ligand Dockings Improves Classification of Actives
Richard K Belew, Stefano Forli, David S Goodsell, et al.
Journal of Computer-Aided Molecular Design
|
February 5, 2014
Virtual screening with AutoDock Vina and the common pharmacophore engine of a low diversity library of fragments and hits against the three allosteric sites of HIV integrase: participation in the SAMPL4 protein-ligand binding challenge
Alexander L Perryman, Daniel N Santiago, Stefano Forli, et al.
Protein Science : a Publication of the Protein Society
|
February 25, 2025
Docking guidance with experimental ligand structural density improves docking pose prediction and virtual screening performance
Althea T Hansel-Harris, Andreas F Tillack, Diogo Santos-Martins, et al.
Journal of Computational Chemistry
|
March 19, 2024
Synergy of machine learning and density functional theory calculations for predicting experimental Lewis base affinity and Lewis polybase binding atoms
Hieu Huynh, Khanh Le, Linh Vu, et al.
Journal of Chemical Information and Modeling
|
August 28, 2023
Reactive Docking: A Computational Method for High-Throughput Virtual Screenings of Reactive Species
Giulia Bianco, Matthew Holcomb, Diogo Santos-Martins, et al.
Expert Opinion on Drug Discovery
|
May 3, 2011
Virtual Screening with AutoDock: Theory and Practice
Sandro Cosconati, Stefano Forli, Alex L Perryman, et al.
Parallel Computing
|
December 13, 2021
Benchmarking the Performance of Irregular Computations in AutoDock-GPU Molecular Docking
Leonardo Solis-Vasquez, Andreas F Tillack, Diogo Santos-Martins, et al.
Page
of 12