Comparative evaluation of eight docking tools for docking and virtual screening accuracy
By Esther Kellenberger, J. Rodrigo, Pascal Muller, Didier Rognan. Proteins: Structure, Function, and Bioinformatics, 2004
556 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Materials Chemistry, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/fe07cea6f954938813002d0d764967dc03e45f52
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
- Jason C. Cole
- Jack Adam Tuszynski
- K. Syed
- N. S. Pagadala
- António J. M. Ribeiro
- Rui P. P. Neves
- Pedro Alexandrino Fernandes
- Silvia A. Martins
In Materials Chemistry
- Jack Adam Tuszynski
- K. Syed
- N. S. Pagadala
- Pedro Alexandrino Fernandes
- Maria João Ramos
- Sandeepkumar Kothiwale
- Jens Meiler
- E. W. Lowe
In Molecular Biology
- Jack Adam Tuszynski
- K. Syed
- N. S. Pagadala
- António J. M. Ribeiro
- Rui P. P. Neves
- Pedro Alexandrino Fernandes
- Silvia A. Martins
- Maria João Ramos
Citations in the corpus
- Comparing protein–ligand docking programs is difficult (2005, background): “have pointed out that problems are still possible.(10)”
- Software for molecular docking: a review (2017, background): “Moreover, Glide and FRED are still efficient in ligand placement with a poor ranking ability (Kellenberger et al. 2004).”