Le Zhang
Molecular Biology · with Fan · 2019
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 15 citations into it
- Computational Theory and Mathematics — 13 citations into it
- Materials Chemistry — 7 citations into it
- Computational Chemistry & Drug Discovery — 6 citations into it
Whom Le Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Le Zhang's perspective
Ordered by how strongly the researchers Le Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Improved protein–ligand docking using GOLD
- AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility
- The Cambridge Structural Database
- AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization and multithreading
- ZDOCK: An initial‐stage protein‐docking algorithm
- ZINC - A Free Database of Commercially Available Compounds for Virtual Screening
- Glide: a new approach for rapid, accurate docking and scoring. 2. Enrichment factors in database screening.
- Docking and scoring in virtual screening for drug discovery: methods and applications
- ZDOCK server: interactive docking prediction of protein-protein complexes and symmetric multimers
- Boosting Docking-Based Virtual Screening with Deep Learning
Their papers
- Progress in molecular docking (2019) — 493 citations