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Garrett M Morris

Showing results (1-10 of 52) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|May 1, 2008
Molecular dockingGarrett M Morris, Marguerita Lim-Wilby
Journal of Chemical Theory and Computation|March 24, 2021
Understanding Conformational Entropy in Small MoleculesLucian Chan, Garrett M Morris, Geoffrey R Hutchison
Journal of Cheminformatics|May 23, 2019
Bayesian optimization for conformer generationLucian Chan, Geoffrey R Hutchison, Garrett M Morris
Physical Chemistry Chemical Physics : PCCP|February 25, 2020
BOKEI: Bayesian optimization using knowledge of correlated torsions and expected improvement for conformer generationLucian Chan, Geoffrey R Hutchison, Garrett M Morris
Frontiers in Bioinformatics|October 3, 2022
Scoring Functions for Protein-Ligand Binding Affinity Prediction using Structure-Based Deep Learning: A ReviewRocco Meli, Garrett M Morris, Philip C Biggin
Journal of Chemical Information and Modeling|September 1, 2021
Learning from Docked Ligands: Ligand-Based Features Rescue Structure-Based Scoring Functions When Trained on Docked PosesFergus Boyles, Charlotte M Deane, Garrett M Morris
Current Protocols in Bioinformatics|December 17, 2008
Using AutoDock for ligand-receptor dockingGarrett M Morris, Ruth Huey, Arthur J Olson
Journal of Chemical Information and Modeling|February 5, 2021
Understanding Ring Puckering in Small Molecules and Cyclic PeptidesLucian Chan, Geoffrey R Hutchison, Garrett M Morris
Chemical Science|March 1, 2024
PoseBusters: AI-based docking methods fail to generate physically valid poses or generalise to novel sequencesMartin Buttenschoen, Garrett M Morris, Charlotte M Deane
Bioinformatics (Oxford, England)|October 11, 2019
Learning from the ligand: using ligand-based features to improve binding affinity predictionFergus Boyles, Charlotte M Deane, Garrett M Morris
Pageof 6

Showing results (1-10 of 52) with videos related to

Sort By:
Pageof 6
Methods in Molecular Biology (Clifton, N.J.)|May 1, 2008
Molecular dockingGarrett M Morris, Marguerita Lim-Wilby
Journal of Chemical Theory and Computation|March 24, 2021
Understanding Conformational Entropy in Small MoleculesLucian Chan, Garrett M Morris, Geoffrey R Hutchison
Journal of Cheminformatics|May 23, 2019
Bayesian optimization for conformer generationLucian Chan, Geoffrey R Hutchison, Garrett M Morris
Physical Chemistry Chemical Physics : PCCP|February 25, 2020
BOKEI: Bayesian optimization using knowledge of correlated torsions and expected improvement for conformer generationLucian Chan, Geoffrey R Hutchison, Garrett M Morris
Frontiers in Bioinformatics|October 3, 2022
Scoring Functions for Protein-Ligand Binding Affinity Prediction using Structure-Based Deep Learning: A ReviewRocco Meli, Garrett M Morris, Philip C Biggin
Journal of Chemical Information and Modeling|September 1, 2021
Learning from Docked Ligands: Ligand-Based Features Rescue Structure-Based Scoring Functions When Trained on Docked PosesFergus Boyles, Charlotte M Deane, Garrett M Morris
Current Protocols in Bioinformatics|December 17, 2008
Using AutoDock for ligand-receptor dockingGarrett M Morris, Ruth Huey, Arthur J Olson
Journal of Chemical Information and Modeling|February 5, 2021
Understanding Ring Puckering in Small Molecules and Cyclic PeptidesLucian Chan, Geoffrey R Hutchison, Garrett M Morris
Chemical Science|March 1, 2024
PoseBusters: AI-based docking methods fail to generate physically valid poses or generalise to novel sequencesMartin Buttenschoen, Garrett M Morris, Charlotte M Deane
Bioinformatics (Oxford, England)|October 11, 2019
Learning from the ligand: using ligand-based features to improve binding affinity predictionFergus Boyles, Charlotte M Deane, Garrett M Morris
Pageof 6