Incorporating Backbone Flexibility in MedusaDock Improves Ligand-Binding Pose Prediction in the CSAR2011 Docking Benchmark.
Feng DingNikolay V. DokholyanPublished in: J. Chem. Inf. Model. (2013)
Keyphrases
- hiv protease
- prediction accuracy
- drug design
- improve recognition accuracy
- pose estimation
- prediction model
- high throughput
- prediction error
- computer vision
- d objects
- comparative analysis
- position and orientation
- prediction algorithm
- mhc class ii
- real world
- head pose estimation
- coarse grained
- human pose
- partial occlusion
- motion estimation
- data mining