Mu-chun Hou
Computational Theory and Mathematics · 2019
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 24 citations into it
Whom Mu-chun Hou trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Arthur J. Olson (in Computational Theory and Mathematics)
Papers from Mu-chun Hou's perspective
Ordered by how strongly the researchers Mu-chun Hou trusts endorse each paper. Same corpus, a different order for every researcher.
- AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization and multithreading
- Diverse, high-quality test set for the validation of protein-ligand docking performance.
- AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility
- Protein-ligand binding site recognition using complementary binding-specific substructure comparison and sequence profile alignment
- Protein-Ligand Blind Docking Using QuickVina-W With Inter-Process Spatio-Temporal Integration
- PRODRG: a tool for high-throughput crystallography of protein-ligand complexes.
- Efficient docking of peptides to proteins without prior knowledge of the binding site (Protein Science)
- The PDBbind database: collection of binding affinities for protein-ligand complexes with known three-dimensional structures.
- The Protein Data Bank.
- Protein data bank
Their papers
- CB-Dock: a web server for cavity detection-guided protein–ligand blind docking (2019) — 733 citations