Huiyong Sun

Molecular Biology · 2013–2019

A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Molecular Biology — 125 citations into it; #15,349 of 17,773 by trust here, #9,851 by citations

Whom Huiyong Sun trusts overall

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

1. Junmei Wang
2. W. L. Jorgensen
3. Holger Gohlke
4. Tingjun Hou
5. David A. Case
6. Alexey V. Onufriev

Who trusts Huiyong Sun overall

1. Junmei Wang
2. John M. Herbert

Papers from Huiyong Sun's perspective

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

1. The Amber biomolecular simulation programs
2. A Second Generation Force Field for the Simulation of Proteins, Nucleic Acids, and Organic Molecules J. Am. Chem. Soc. 1995, 117, 5179−5197
3. Protein data bank
4. Comparison of simple potential functions for simulating liquid water
5. AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization and multithreading
6. The Protein Data Bank.
7. Numerical Integration of the Cartesian Equations of Motion of a System with Constraints: Molecular Dynamics of n-Alkanes
8. Principles of protein-protein interactions (European Conference on Computational Biology)
9. All-atom empirical potential for molecular modeling and dynamics studies of proteins.
10. Automatic atom type and bond type perception in molecular mechanical calculations. (Journal of Molecular Graphics and Modelling)

Their papers

• Assessing the performance of the MM/PBSA and MM/GBSA methods. 6. Capability to predict protein-protein binding free energies and re-rank binding poses generated by protein-protein docking. (2016) — 418 citations
• Comprehensive evaluation of ten docking programs on a diverse set of protein-ligand complexes: the prediction accuracy of sampling power and scoring power. (2016) — 706 citations
• End-Point Binding Free Energy Calculation with MM/PBSA and MM/GBSA: Strategies and Applications in Drug Design. (2019) — 1,862 citations
• Assessing the performance of MM/PBSA and MM/GBSA methods. 4. Accuracies of MM/PBSA and MM/GBSA methodologies evaluated by various simulation protocols using PDBbind data set. (2014) — 606 citations
• Insight into Crizotinib Resistance Mechanisms Caused by Three Mutations in ALK Tyrosine Kinase using Free Energy Calculation Approaches (2013) — 81 citations