High-resolution protein-protein docking by global optimization: recent advances and future challenges.

By Hahnbeom Park, Hasup Lee, Chaok Seok. 2015

39 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. Petras J. Kundrotas
2. Taras Dauzhenka
3. Pablo Gainza
4. Michael J.E. Sternberg
5. Hunter M. Nisonoff
6. Bruce Randall Donald
7. Ilya A. Vakser
8. Torsten Schwede

In Materials Chemistry

1. Petras J. Kundrotas
2. Taras Dauzhenka
3. Ilya A. Vakser
4. Pablo Gainza
5. Michael J.E. Sternberg
6. Amar Singh
7. Hunter M. Nisonoff
8. Bruce Randall Donald

In Molecular Biology

1. Petras J. Kundrotas
2. Taras Dauzhenka
3. Michael J.E. Sternberg
4. Amar Singh
5. Ilya A. Vakser
6. Pablo Gainza
7. Hunter M. Nisonoff
8. Bruce Randall Donald

Citations in the corpus

• Algorithms for Protein Design (2016, methodology): “Because of constraints on the length of this survey, we exclude related algorithms that are important for therapeutic and assembly protein design that have also been highly productive recently, such as docking algorithms (for a review see [48]), scaffold search algorithms (e.”
• Application of docking methodologies to modeled proteins (2020, background): “5–16 Both docking protocols typically consist of a scan stage where a global search is performed for an approximate structure of the complex, 17 followed by post-processing of the putative matches by scoring (re-ranking by more accurate and often computationally expensive functions).”