ZDOCK: An initial‐stage protein‐docking algorithm
By Rong Chen, Li Li, Zhiping Weng. 2003
1,408 citations recorded by the source corpus.
Subfields: Molecular Biology, Radiology, Nuclear Medicine and Imaging
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- Alexandre M. J. J. Bonvin
- Shengyou Huang
- Xiaoqin Zou
- D. Ritchie
- Brian G. Pierce
- Zhiping Weng
- Björn Wallner
- Sandor Vajda
In Radiology, Nuclear Medicine and Imaging
- Shengyou Huang
- Xiaoqin Zou
- Alexandre M. J. J. Bonvin
- D. Ritchie
- Sandor Vajda
- Haim J. Wolfson
- Zhiping Weng
- Ruth Nussinov
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…”
- Benchmarking AlphaFold for protein complex modeling reveals accuracy determinants (2021, methodology): “…up to 10 Å L-RMSD), medium and high-accuracy models are more reflective of previously utilized model accuracy cutoffs, such as the 2.5 Å I-RMSD cutoff used for near-native models by Chen and Weng 40 ; accordingly, multiple studies have used the medium accuracy cutoff to identify near-native models.”
- The HADDOCK web server for data-driven biomolecular docking (2010, methodology): “We recommend that HADDOCK parameter files be deposited along with HADDOCK-generated structures in the Protein Data Bank.”
- Protein–protein docking by fast generalized Fourier transforms on 5D rotational manifolds (2016, background): “In later FFT based methods the scoring function has been expanded to include electrostatic and solvation terms [6, 7], and more recently structure-based interaction potentials [8, 9], substantially improving the accuracy of docked structures.”
- An iterative knowledge‐based scoring function for protein–protein recognition (2008, methodology): “14,15 The decoys were generated from the Benchmark 0.0 of 49 protein–protein complexes by Weng and coworkers, using unbound docking via the ZDOCK software.”
- RDOCK: Refinement of rigid‐body protein docking predictions (2003, background): “34 In addition to being more consistent, smaller (cid:5) (such as 6°) led to many more hits.”
- Integrating statistical pair potentials into protein complex prediction (2007, background): “(4)], thus allowing the calculation to be completed in a single FFT correlation.”
- Protein–protein docking benchmark version 4.0 (2010, background): “49 2599 1OC0_A:B E 1B3K_A Plasminogen activator inhibitor-1 2JQ8_A(4) Vitronectin Somatomedin B domain 1 1312 1OYV_A:I E 1SCD_A Subtilisin Carlsberg 1PJU_A Two-headed tomato inhibitor-II 0.”