Ailing Fu
Computational Theory and Mathematics · 2019
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 44 citations into it
- Molecular Biology — 43 citations into it
- Computational Chemistry & Drug Discovery — 25 citations into it
- Materials Chemistry — 20 citations into it
Whom Ailing Fu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John J. Irwin
- Rong Chen
- Marcel L. Verdonk
- Douglas B. Kitchen
- Arthur J. Olson
- Garrett M. Morris
- Brian G. Pierce
Papers from Ailing Fu's perspective
Ordered by how strongly the researchers Ailing Fu 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
- Docking and scoring in virtual screening for drug discovery: methods and applications
- 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.
- ZDOCK: An initial‐stage protein‐docking algorithm
- ZDOCK server: interactive docking prediction of protein-protein complexes and symmetric multimers
- DOCK 6: combining techniques to model RNA-small molecule complexes.
- Boosting Docking-Based Virtual Screening with Deep Learning
Their papers
- Progress in molecular docking (2019) — 493 citations
- An Overview of Scoring Functions Used for Protein–Ligand Interactions in Molecular Docking (2019) — 352 citations