Evaluations of Molecular Docking Programs for Virtual Screening
By K. Onodera, K. Satou, H. Hirota. 2007
180 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Molecular Biology, Organic Chemistry
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
- D. Lee
- Nicolas Moitessier
- Jack Adam Tuszynski
- Pablo Englebienne
- Christopher R. Corbeil
- J. Lawandi
- K. Syed
- N. S. Pagadala
In Molecular Biology
- D. Lee
- Nicolas Moitessier
- Jack Adam Tuszynski
- Pablo Englebienne
- Christopher R. Corbeil
- J. Lawandi
- K. Syed
- N. S. Pagadala
In Organic Chemistry
Citations in the corpus
- Software for molecular docking: a review (2017, background): “The sizes of the binding sites for the complexes that were successfully solved only by GOLD were widely distributed, from 2253 to 7900 Å, and represented the various protein types (Onodera et al. 2007).”
- Towards the development of universal, fast and highly accurate docking/scoring methods: a long way to go (2008, result): “While this manuscript was under revision, other comparative studies were published (McGaughey et al ., 2007; Onodera et al ., 2007; Zhou et al ., 2007) and are included in Table 3 but are not discussed.”
- Comparison of Several Molecular Docking Programs: Pose Prediction and Virtual Screening Accuracy (2009, background): “23 However, combining the results of these evaluations to form a coherent assessment of a docking program can be difficult, since unique data sets and different data analysis methods are often employed.”