Polo Chun-Hung Lam

Computational Theory and Mathematics · 2017–2018

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

Subfields

• Computational Theory and Mathematics — 19 citations into it
• Molecular Biology — 18 citations into it
• Materials Chemistry — 8 citations into it

Whom Polo Chun-Hung Lam trusts overall

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

1. Jacob D. Durrant
2. Marco A. C. Neves
3. Stephen K. Burley
4. James Andrew McCammon
5. Maxim Totrov
6. Ruben Abagyan
7. Helen M. Berman

Who trusts Polo Chun-Hung Lam overall

1. Hannes Stärk

Papers from Polo Chun-Hung Lam's perspective

Ordered by how strongly the researchers Polo Chun-Hung Lam trusts endorse each paper. Same corpus, a different order for every researcher.

1. Molecular dynamics simulations and drug discovery
2. Protein Data Bank (PDB): The Single Global Macromolecular Structure Archive (Methods in molecular biology)
3. The Protein Data Bank
4. Evaluating Virtual Screening Methods: Good and Bad Metrics for the "Early Recognition" Problem
5. Benchmarking sets for molecular docking.
6. Diverse, high-quality test set for the validation of protein-ligand docking performance.
7. SCOP database in 2004: refinements integrate structure and sequence family data
8. The RCSB Protein Data Bank: redesigned web site and web services
9. Role of binding entropy in the refinement of protein–ligand docking predictions: Analysis based on the use of 11 scoring functions
10. PDBe: Protein Data Bank in Europe

Their papers

• Ligand-biased ensemble receptor docking (LigBEnD): a hybrid ligand/receptor structure-based approach (2017) — 42 citations
• Hybrid receptor structure/ligand-based docking and activity prediction in ICM: development and evaluation in D3R Grand Challenge 3 (2018) — 22 citations