Comparison of Consensus Scoring Strategies for Evaluating Computational Models of Protein-Ligand Complexes
By A. Oda, Keiichi Tsuchida, Tadakazu Takakura, N. Yamaotsu, S. Hirono. 2006
152 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Molecular Biology
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
- F. Silva-Jr
- Paula Jofily
- Vijay S. Pande
- Oscar F. Ortiz
- Paul A. Novick
- Pedro H. M. Torres
- Jared Poelman
- Amir Abdulhay
In Molecular Biology
- F. Silva-Jr
- Paula Jofily
- Vijay S. Pande
- Oscar F. Ortiz
- Paul A. Novick
- Pedro H. M. Torres
- Jared Poelman
- Amir Abdulhay
Citations in the corpus
- SWEETLEAD: an In Silico Database of Approved Drugs, Regulated Chemicals, and Herbal Isolates for Computer-Aided Drug Discovery (2013, methodology): “Such rank-by-vote approaches have been used to build consensus among conflicting information in other fields, such as virtual screening and gene expression prediction[33-36].”
- Key Topics in Molecular Docking for Drug Design (2019, methodology): “PDB 220 FlexX 9 Several e Compression and Accuracy Oda, 2006 [120]”