Dan Li

Molecular Biology · Physical Chemistry, Chemical Physics - PCCP · 2013–2019

A researcher in the Science corpus: 5 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 82 citations into it
• Atomic and Molecular Physics, and Optics — 9 citations into it

Whom Dan Li trusts

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

1. David A. Case (in Molecular Biology)
2. Holger Gohlke (in Molecular Biology)

Papers from Dan Li's perspective

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

1. The Amber biomolecular simulation programs
2. CAPRI: A Critical Assessment of PRedicted Interactions (Proteins: Structure, Function, and Bioinformatics)
3. GRAMM-X public web server for protein–protein docking (Nucleic Acids Res.)
4. PatchDock and SymmDock: servers for rigid and symmetric docking
5. SwarmDock: a server for flexible protein-protein docking
6. ZDOCK server: interactive docking prediction of protein-protein complexes and symmetric multimers
7. Accelerating Protein Docking in ZDOCK Using an Advanced 3D Convolution Library (PLoS ONE)
8. HexServer: an FFT-based protein docking server powered by graphics processors (Nucleic Acids Res.)
9. HDOCK: a web server for protein–protein and protein–DNA/RNA docking based on a hybrid strategy (Nucleic Acids Res.)
10. Protein-protein docking: from interaction to interactome.

Their papers

• HawkDock: a web server to predict and analyze the protein–protein complex based on computational docking and MM/GBSA (2019) — 565 citations
• 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
• The application of in silico drug-likeness predictions in pharmaceutical research. (2015) — 441 citations
• Insight into Crizotinib Resistance Mechanisms Caused by Three Mutations in ALK Tyrosine Kinase using Free Energy Calculation Approaches (2013) — 81 citations