Letícia C. Assis

Computational Theory and Mathematics · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Letícia C. Assis trusts overall

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

  1. R. Harrison
  2. Jacob D. Durrant
  3. Teague Sterling
  4. Elizabeth Yuriev
  5. John J. Irwin
  6. Shengyou Huang
  7. Santiago Vilar
  8. Matthias Rarey
  9. Michael M. Mysinger

Papers from Letícia C. Assis's perspective

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

  1. Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy.
  2. Improved protein–ligand docking using GOLD
  3. A fast flexible docking method using an incremental construction algorithm.
  4. AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization and multithreading
  5. The ChEMBL bioactivity database: an update
  6. ChEMBL: a large-scale bioactivity database for drug discovery
  7. Benchmarking sets for molecular docking.
  8. Flexible docking using tabu search and an empirical estimate of binding affinity
  9. NNScore 2.0: A Neural-Network Receptor–Ligand Scoring Function
  10. Directory of Useful Decoys, Enhanced (DUD-E): Better Ligands and Decoys for Better Benchmarking

Their papers