A new protein-protein docking scoring function based on interface residue properties
By Julie Bernauer, Jérôme Azé, Joël Janin, Anne Poupon. 2007
67 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
- Björn Wallner
- Sankar Basu
- Iain H. Moal
- Juan Fernández-Recio
- Paul A. Bates
- Mieczyslaw Torchala
- Pedro Alexandrino Fernandes
- Maria João Ramos
In Molecular Biology
- Björn Wallner
- Sankar Basu
- Iain H. Moal
- Juan Fernández-Recio
- Paul A. Bates
- Mieczyslaw Torchala
- Pedro Alexandrino Fernandes
- Maria João Ramos
Citations in the corpus
- DockQ: A Quality Measure for Protein-Protein Docking Models (2016, methodology): “Thus, the scoring part of CAPRI [8] and benchmarks of scoring functions for docking [11,10,12,13] only focuses on the ability to select good models according to the CAPRI classification, completely ignoring the potential useful information in the lower ranked models in assessing the ability to…”
- Protein–protein docking dealing with the unknown (2009, methodology): “…analysis of known interfaces or Machine Learning techniques,117 or more sophisticated force fields used in subsequent refinement steps.118 Bernauer et al., 2007 developed a scoring function based on a Voronoi tessellation of the protein three-dimensional structures, which provides a…”
- The scoring of poses in protein-protein docking: current capabilities and future directions (2013, methodology): “In these cases, flexible machine learning algorithms capable of inferring these relationships can be used to tailor scoring functions to the structures produced by the sampling methods [124], and indeed examples of this approach can be found in the literature [91-97].”