Alisson Marques da Silva
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
- Computational Theory and Mathematics — 38 citations into it
- Molecular Biology — 31 citations into it
- Computational Chemistry & Drug Discovery — 19 citations into it
Whom Alisson Marques da Silva trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Alisson Marques da Silva's perspective
Ordered by how strongly the researchers Alisson Marques da Silva trusts endorse each paper. Same corpus, a different order for every researcher.
- Improved protein–ligand docking using GOLD
- Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy.
- A fast flexible docking method using an incremental construction algorithm.
- AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization and multithreading
- Benchmarking sets for molecular docking.
- The ChEMBL bioactivity database: an update
- ChEMBL: a large-scale bioactivity database for drug discovery
- NNScore 2.0: A Neural-Network Receptor–Ligand Scoring Function
- Flexible docking using tabu search and an empirical estimate of binding affinity
- Directory of Useful Decoys, Enhanced (DUD-E): Better Ligands and Decoys for Better Benchmarking
Their papers
- Structure-Based Virtual Screening: From Classical to Artificial Intelligence (2020) — 458 citations