Improving scoring-docking-screening powers of protein–ligand scoring functions using random forest

Mathematics

• Docking 100%
• Random Forest 90%
• Scoring 74%
• Screening 68%
• Crystal Structure 10%
• Power of Test 10%
• Feature Selection 10%
• Performance 9%
• Learning Algorithm 9%
• Descriptors 9%
• Enhancement 9%
• Machine Learning 8%
• Large Set 8%
• Experimental Data 7%
• Parameterization 7%
• Benchmark 7%
• Framework 4%

Medicine & Life Sciences

• Forests 73%
• Machine Learning 35%
• Datasets 24%

Chemical Compounds

• Crystal Structure 30%