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Markus A Lill

Showing results (41-50 of 84) with videos related to

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Journal of Chemical Information and Modeling|January 15, 2021
Conformational Changes of Thyroid Receptors in Response to AntagonistsAndré Fischer, Gabriela Frehner, Markus A Lill, et al.
Journal of Cheminformatics|February 9, 2023
Efficient virtual high-content screening using a distance-aware transformer modelManuel S Sellner, Amr H Mahmoud, Markus A Lill
Nature Communications|October 6, 2025
Investigating whether deep learning models for co-folding learn the physics of protein-ligand interactionsMatthew R Masters, Amr H Mahmoud, Markus A Lill
Journal of Medicinal Chemistry|February 22, 2021
Decision Making in Structure-Based Drug Discovery: Visual Inspection of Docking ResultsAndré Fischer, Martin Smieško, Manuel Sellner, et al.
Journal of Medicinal Chemistry|September 2, 2005
Impact of induced fit on ligand binding to the androgen receptor: a multidimensional QSAR study to predict endocrine-disrupting effects of environmental chemicalsMarkus A Lill, Fabienne Winiger, Angelo Vedani, et al.
Methods in Molecular Biology (Clifton, N.J.)|March 30, 2018
Calculation of Thermodynamic Properties of Bound Water MoleculesYing Yang, Amr H A Abdallah, Markus A Lill
Chemmedchem|November 11, 2006
Simulating alpha/beta selectivity at the human thyroid hormone receptor: consensus scoring using multidimensional QSARAngelo Vedani, Martin Zumstein, Markus A Lill, et al.
Journal of Chemical Information and Modeling|October 6, 2018
Efficient and Accurate Hydration Site Profiling for Enclosed Binding SitesMatthew R Masters, Amr H Mahmoud, Ying Yang, et al.
Communications Chemistry|January 27, 2023
Elucidating the multiple roles of hydration for accurate protein-ligand binding prediction via deep learningAmr H Mahmoud, Matthew R Masters, Ying Yang, et al.
Journal of Chemical Information and Modeling|March 30, 2022
Accurate Sampling of Macromolecular Conformations Using Adaptive Deep Learning and Coarse-Grained RepresentationAmr H Mahmoud, Matthew Masters, Soo Jung Lee, et al.
Pageof 9

Showing results (41-50 of 84) with videos related to

Sort By:
Pageof 9
Journal of Chemical Information and Modeling|January 15, 2021
Conformational Changes of Thyroid Receptors in Response to AntagonistsAndré Fischer, Gabriela Frehner, Markus A Lill, et al.
Journal of Cheminformatics|February 9, 2023
Efficient virtual high-content screening using a distance-aware transformer modelManuel S Sellner, Amr H Mahmoud, Markus A Lill
Nature Communications|October 6, 2025
Investigating whether deep learning models for co-folding learn the physics of protein-ligand interactionsMatthew R Masters, Amr H Mahmoud, Markus A Lill
Journal of Medicinal Chemistry|February 22, 2021
Decision Making in Structure-Based Drug Discovery: Visual Inspection of Docking ResultsAndré Fischer, Martin Smieško, Manuel Sellner, et al.
Journal of Medicinal Chemistry|September 2, 2005
Impact of induced fit on ligand binding to the androgen receptor: a multidimensional QSAR study to predict endocrine-disrupting effects of environmental chemicalsMarkus A Lill, Fabienne Winiger, Angelo Vedani, et al.
Methods in Molecular Biology (Clifton, N.J.)|March 30, 2018
Calculation of Thermodynamic Properties of Bound Water MoleculesYing Yang, Amr H A Abdallah, Markus A Lill
Chemmedchem|November 11, 2006
Simulating alpha/beta selectivity at the human thyroid hormone receptor: consensus scoring using multidimensional QSARAngelo Vedani, Martin Zumstein, Markus A Lill, et al.
Journal of Chemical Information and Modeling|October 6, 2018
Efficient and Accurate Hydration Site Profiling for Enclosed Binding SitesMatthew R Masters, Amr H Mahmoud, Ying Yang, et al.
Communications Chemistry|January 27, 2023
Elucidating the multiple roles of hydration for accurate protein-ligand binding prediction via deep learningAmr H Mahmoud, Matthew R Masters, Ying Yang, et al.
Journal of Chemical Information and Modeling|March 30, 2022
Accurate Sampling of Macromolecular Conformations Using Adaptive Deep Learning and Coarse-Grained RepresentationAmr H Mahmoud, Matthew Masters, Soo Jung Lee, et al.
Pageof 9