Protein–protein docking with a reduced protein model accounting for side‐chain flexibility
By Martin Zacharias. Protein Science, 2003
338 citations recorded by the source corpus.
Subfields: Materials Chemistry, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/1fb68e8c2ce862f789ee0bbcd6e47490497ed7ee
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Materials Chemistry
- Shengyou Huang
- Xiaoqin Zou
- Alexandre M. J. J. Bonvin
- Ruth Nussinov
- Haim J. Wolfson
- Nelly Andrusier
- Efrat Mashiach
- D. Ritchie
In Molecular Biology
- Shengyou Huang
- Xiaoqin Zou
- Alexandre M. J. J. Bonvin
- Nelly Andrusier
- Efrat Mashiach
- Haim J. Wolfson
- Ruth Nussinov
- D. Ritchie
Citations in the corpus
- Improved side‐chain modeling for protein–protein docking (2005, neutral): “Copyright © 2005 The Protein Society1328 docking using a reduced protein model (Vakser et al. 1999; Zacharias 2003) or softened protein surfaces (Gabb et al. 1997; Palma et al. 2000) to allow some tolerance of atomic clashes across protein interfaces.”
- Principles of Flexible Protein-Protein Docking (2008, methodology): “These methods can be divided into three major groups: (i) brute force techniques66–68 that can be significantly speeded up by FFT,69–74 (ii) randomized methods10,75 and (iii) shape complementarity methods.”
- Flexible protein-protein docking. (2006, positive): “ATTRACT [31,32] uses a reduced protein representation together with multiple sidechain copies: switching between rotamers is performed at various stages during docking and the best conformation is selected for the next few subsequent EM steps.”
- MDockPP: A hierarchical approach for protein-protein docking and its application to CAPRI rounds 15–19 (2010, methodology): “17,16 The initial binding poses by the FFT method are filtered by a shape complementarity criterion, leaving usually several thousands poses to be further refined by a recent iteratively-derived knowledge-based scoring function (ITScorePP).”