Maximilian Grimm

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

Whom Maximilian Grimm trusts overall

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

  1. A. W. Schüttelkopf
  2. Jianyi Yang

Papers from Maximilian Grimm's perspective

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

  1. AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization and multithreading
  2. Diverse, high-quality test set for the validation of protein-ligand docking performance.
  3. AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility
  4. Protein-ligand binding site recognition using complementary binding-specific substructure comparison and sequence profile alignment
  5. Protein-Ligand Blind Docking Using QuickVina-W With Inter-Process Spatio-Temporal Integration
  6. PRODRG: a tool for high-throughput crystallography of protein-ligand complexes.
  7. The PDBbind database: collection of binding affinities for protein-ligand complexes with known three-dimensional structures.
  8. Efficient docking of peptides to proteins without prior knowledge of the binding site (Protein Science)
  9. The Protein Data Bank.
  10. Protein data bank

Their papers