Sanner, Michel F.
98  Ergebnisse:
Personensuche X
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2

Predicting Protein–Peptide Interactions: Benchmarking Deep ..:

Shanker, Sudhanshu ; Sanner, Michel F.
Journal of Chemical Information and Modeling.  63 (2023)  10 - p. 3158-3170 , 2023
 
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3

Accelerating AutoDock4 with GPUs and Gradient-Based Local S..:

Santos-Martins, Diogo ; Solis-Vasquez, Leonardo ; Tillack, Andreas F...
Journal of Chemical Theory and Computation.  17 (2021)  2 - p. 1060-1073 , 2021
 
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4

Improving Docking Power for Short Peptides Using Random For..:

Sanner, Michel F. ; Dieguez, Leonard ; Forli, Stefano.
Journal of Chemical Information and Modeling.  61 (2021)  6 - p. 3074-3090 , 2021
 
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5

Cyclic Peptides as Protein Kinase Inhibitors: Structure–Act..:

Sanner, Michel F. ; Zoghebi, Khalid ; Hanna, Samara...
Journal of Chemical Information and Modeling.  61 (2021)  6 - p. 3015-3026 , 2021
 
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6

C‐terminal residues of activated protein C light chain cont..:

Yamashita, Atsuki ; Zhang, Yuqi ; Sanner, Michel F...
Journal of Thrombosis and Haemostasis.  18 (2020)  5 - p. 1027-1038 , 2020
 
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8

Docking Flexible Cyclic Peptides with AutoDock CrankPep:

Zhang, Yuqi ; Sanner, Michel F.
Journal of Chemical Theory and Computation.  15 (2019)  10 - p. 5161-5168 , 2019
 
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9

AutoGridFR: Improvements on AutoDock Affinity Maps and Asso..:

Zhang, Yuqi ; Forli, Stefano ; Omelchenko, Anna.
Journal of Computational Chemistry.  40 (2019)  32 - p. 2882-2886 , 2019
 
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15

AutoDock4 and AutoDockTools4: Automated docking with select..:

Morris, Garrett M. ; Huey, Ruth ; Lindstrom, William...
Journal of Computational Chemistry.  30 (2009)  16 - p. 2785-2791 , 2009
 
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