Rong Chen

Molecular Biology · Proteins: Structure, Function, and Bioinformatics · 2003–2007

A researcher in the Science corpus: 6 papers; trusts 6 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 25 citations into it; #463 of 17,773 by trust here, #3,217 by citations
• Computational Theory and Mathematics — 15 citations into it; #3,389 of 12,182 by trust here, #3,339 by citations
• Materials Chemistry — 15 citations into it; #2,665 of 11,513 by trust here, #9,927 by citations
• Radiology, Nuclear Medicine and Imaging — 6 citations into it; #139 of 3,265 by trust here, #450 by citations

Whom Rong Chen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ilya A. Vakser
2. William R. Pearson
3. Zhiping Weng
4. Bernard R. Brooks
5. D. Ritchie
6. Jeffrey G. Mandell
7. Joël Janin
8. Pinak Chakrabarti
9. S. Miyazawa

Who trusts Rong Chen overall

1. Shengyou Huang
2. Xiaoqin Zou
3. Stephen R. Comeau
4. D. Ritchie
5. Dima Kozakov
6. Li Li
7. Zhiping Weng
8. Brian G. Pierce
9. Alexandre M. J. J. Bonvin
10. Thom Vreven

Papers from Rong Chen's perspective

Ordered by how strongly the researchers Rong Chen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Molecular surface recognition: determination of geometric fit between proteins and their ligands by correlation techniques.
2. Calculation of conformational ensembles from potentials of mean force. An approach to the knowledge-based prediction of local structures in globular proteins.
3. Statistical potentials extracted from protein structures: how accurate are they?
4. Dissecting protein–protein recognition sites (Proteins: Structure, Function, and Bioinformatics)
5. A protein–protein docking benchmark (Proteins: Structure, Function, and Bioinformatics)
6. Comparison of methods for searching protein sequence databases
7. CHARMM: A program for macromolecular energy, minimization, and dynamics calculations
8. Residue-residue potentials with a favorable contact pair term and an unfavorable high packing density term, for simulation and threading.
9. Effective energy function for proteins in solution
10. The protein–protein interaction map of Helicobacter pylori (Nature)

Their papers

• A protein–protein docking benchmark (2003) — 362 citations
• ZDOCK: An initial‐stage protein‐docking algorithm (2003) — 1,408 citations
• Protein–protein docking benchmark 2.0: An update (2005) — 301 citations
• RDOCK: Refinement of rigid‐body protein docking predictions (2003) — 328 citations
• A novel shape complementarity scoring function for protein‐protein docking (2003) — 297 citations
• Integrating statistical pair potentials into protein complex prediction (2007) — 333 citations