DSX: A Knowledge-Based Scoring Function for the Assessment of Protein-Ligand Complexes

By G. Neudert, Gerhard Klebe. 2011

276 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. Elizabeth Yuriev
2. Paul A. Ramsland
3. Zhihai Liu
4. Yan Li
5. Jie Liu
6. Renxiao Wang
7. G. Wei
8. Duc Duy Nguyen

In Materials Chemistry

1. Elizabeth Yuriev
2. Paul A. Ramsland
3. Yan Li
4. Renxiao Wang
5. Zhihai Liu

In Molecular Biology

1. Elizabeth Yuriev
2. Paul A. Ramsland
3. Zhihai Liu
4. Yan Li
5. Renxiao Wang
6. G. Wei

Citations in the corpus

• Latest developments in molecular docking: 2010–2011 in review (2013, background): “[86] DSX demonstrated good performance in pose prediction and ligand ranking.”
• PDB-wide collection of binding data: current status of the PDBbind database (2015, methodology): “Other recently published scoring functions, which used protein–ligand complex datasets from PDBbind include NNScore (Durrant and McCammon, 2010), DSX (Neudert and Klebe, 2011), PHOENIX (Tang et al.”