Spherical polar Fourier assembly of protein complexes with arbitrary point group symmetry

By D. Ritchie, Sergei Grudinin. 2016

48 citations recorded by the source corpus.

Subfields: 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 Materials Chemistry

1. Yumeng Yan
2. Huanyu Tao
3. Shengyou Huang
4. Daisuke Kihara
5. Sean T. Flannery
6. Xiao Wang
7. Yang Zhang

In Molecular Biology

1. Huanyu Tao
2. Yumeng Yan
3. Shengyou Huang
4. Daisuke Kihara
5. Sean T. Flannery
6. Xiao Wang
7. Xiaoqin Zou
8. Yang Zhang

Citations in the corpus

• Protein Docking Model Evaluation by Graph Neural Networks (2020, methodology): “The development of new methods aims to extend and surpass the capabilities of simple pairwise docking, such as multichain docking (Schneidman-Duhovny et al., 2005; EsquivelRodríguez et al., 2012; Ritchie and Grudinin, 2016), peptide–protein docking (Kurcinski et al.”
• HSYMDOCK: a docking web server for predicting the structure of protein homo-oligomers with Cn or Dn symmetry (2018, background): “Namely, HSYMDOCK performed significantly better than the other three methods for unbound docking and obtained a success rate of 48.8% for top 10 predictions, compared to 44.1% for M-ZDOCK, 40.4% for SAM and 37.1% for Sym-mDock, respectively (Figure 4B).”