Supervised Consensus Scoring for Docking and Virtual Screening
By R. Teramoto, H. Fukunishi. 2007
88 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Molecular Biology, Organic Chemistry, Computational Chemistry & Drug Discovery
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
In Molecular Biology
In Organic Chemistry
In Computational Chemistry & Drug Discovery
Citations in the corpus
- Key Topics in Molecular Docking for Drug Design (2019, methodology): “PDB 100 AutoDock 11 Supervised Learning (Random Forests), Rank-by-rank Average RMSD, Success rate Teramoto, 2007 [125]”