The targets of CAPRI rounds 20–27

By Joël Janin. 2013

19 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Materials Chemistry, 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

1. João P. G. L. M. Rodrigues
2. Ezgi Karaca
3. Alexandre M. J. J. Bonvin
4. Daisuke Kihara
5. Sean T. Flannery
6. Xiao Wang

In Materials Chemistry

1. João P. G. L. M. Rodrigues
2. Ezgi Karaca
3. Alexandre M. J. J. Bonvin
4. Daisuke Kihara
5. Sean T. Flannery
6. Xiao Wang
7. Yang Zhang
8. M. V. van Dijk

In Molecular Biology

1. João P. G. L. M. Rodrigues
2. Alexandre M. J. J. Bonvin
3. Ezgi Karaca
4. Daisuke Kihara
5. Sean T. Flannery
6. Xiao Wang
7. M. V. van Dijk
8. Yang Zhang

Citations in the corpus

• Information-driven structural modelling of protein-protein interactions. (2015, background): “In fact, this approach—information-driven docking—has become the most reliable and successful in the docking community, as shown in the latest assessment of the community-wide docking assessment experiment (CAPRI) [4, 5].”
• Protein Docking Model Evaluation by Graph Neural Networks (2020, methodology): “Finally, we tested GNN-DOVE on decoy sets of 13 targets in the CAPRI Score_set (Lensink and Wodak, 2014), which consists of 13 scoring targets from the CAPRI round 13 to round 26 (Janin, 2010; Janin, 2013).”