-
1
-
-
84897010735
-
Does a More Precise Chemical Description of Protein-Ligand Complexes Lead to More Accurate Prediction of Binding Affinity
-
Ballester, P.J., et al.: Does a More Precise Chemical Description of Protein-Ligand Complexes Lead to More Accurate Prediction of Binding Affinity? J. Chem. Inf. Model. 54(3), 944–955 (2014)
-
(2014)
J. Chem. Inf. Model
, vol.54
, Issue.3
, pp. 944-955
-
-
Ballester, P.J.1
-
2
-
-
84868556569
-
Hierarchical virtual screening for the discovery of new molecular scaffolds in antibacterial hit identification
-
Ballester, P.J., et al.: Hierarchical virtual screening for the discovery of new molecular scaffolds in antibacterial hit identification. J. R. Soc. Interface. 9(77), 3196–3207 (2012)
-
(2012)
J. R. Soc. Interface
, vol.9
, Issue.77
, pp. 3196-3207
-
-
Ballester, P.J.1
-
3
-
-
84868679998
-
Machine learning scoring functions based on random forest and support vector regression
-
In: Shibuya, T., Kashima, H., Sese, J., Ahmad, S. (eds.), Springer, Heidelberg
-
Ballester, P.J.: Machine learning scoring functions based on random forest and support vector regression. In: Shibuya, T., Kashima, H., Sese, J., Ahmad, S. (eds.) PRIB 2012. LNCS, vol. 7632, pp. 14–25. Springer, Heidelberg (2012)
-
(2012)
PRIB 2012. LNCS
, vol.7632
, pp. 14-25
-
-
Ballester, P.J.1
-
4
-
-
77952825581
-
A machine learning approach to predicting protein-ligand binding affinity with applications to molecular docking
-
Ballester, P.J., Mitchell, J.B.O.: A machine learning approach to predicting protein-ligand binding affinity with applications to molecular docking. Bioinformatics 26(9), 1169–1175 (2010)
-
(2010)
Bioinformatics
, vol.26
, Issue.9
, pp. 1169-1175
-
-
Ballester, P.J.1
Mitchell, J.B.O.2
-
5
-
-
80051984855
-
Comments on “leave-cluster-out cross-validation is appropriate for scoring functions derived from diverse protein data sets”: Significance for the validation of scoring functions
-
Ballester, P.J., Mitchell, J.B.O.: Comments on “leave-cluster-out cross-validation is appropriate for scoring functions derived from diverse protein data sets”: significance for the validation of scoring functions. J. Chem. Inf. Model. 51(8), 1739–1741 (2011)
-
(2011)
J. Chem. Inf. Model
, vol.51
, Issue.8
, pp. 1739-1741
-
-
Ballester, P.J.1
Mitchell, J.B.O.2
-
6
-
-
0035478854
-
Random Forests
-
Breiman, L.: Random Forests. Mach. Learn. 45(1), 5–32 (2001)
-
(2001)
Mach. Learn
, vol.45
, Issue.1
, pp. 5-32
-
-
Breiman, L.1
-
7
-
-
66149103553
-
Comparative Assessment of Scoring Functions on a Diverse Test Set
-
Cheng, T., et al.: Comparative Assessment of Scoring Functions on a Diverse Test Set. J. Chem. Inf. Model. 49(4), 1079–1093 (2009)
-
(2009)
J. Chem. Inf. Model
, vol.49
, Issue.4
, pp. 1079-1093
-
-
Cheng, T.1
-
8
-
-
84894639153
-
Istar: A Web Platform for Large-Scale Protein-Ligand Docking
-
Li, H., et al.: istar: A Web Platform for Large-Scale Protein-Ligand Docking. PLoS One 9(1), e85678 (2014)
-
(2014)
Plos One
, vol.9
, Issue.1
-
-
Li, H.1
-
9
-
-
84894632844
-
Iview: An interactive WebGL visualizer for protein-ligand complex
-
Li, H., et al.: iview: an interactive WebGL visualizer for protein-ligand complex. BMC Bioinformatics 15(1), 56 (2014)
-
(2014)
BMC Bioinformatics
, vol.15
, Issue.1
, pp. 56
-
-
Li, H.1
-
10
-
-
70349932423
-
AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility
-
Morris, G.M., et al.: AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility. J. Comput. Chem. 30(16), 2785–2791 (2009)
-
(2009)
J. Comput. Chem
, vol.30
, Issue.16
, pp. 2785-2791
-
-
Morris, G.M.1
-
11
-
-
11644261806
-
Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function
-
Morris, G.M., et al.: Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function. J. Comput. Chem. 19(14), 1639–1662 (1998)
-
(1998)
J. Comput. Chem
, vol.19
, Issue.14
, pp. 1639-1662
-
-
Morris, G.M.1
-
12
-
-
76149120388
-
AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading
-
Trott, O., Olson, A.J.: AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading. J. Comput. Chem. 31(2), 455–461 (2010)
-
(2010)
J. Comput. Chem
, vol.31
, Issue.2
, pp. 455-461
-
-
Trott, O.1
Olson, A.J.2
|