F. Silva-Jr

Computational Theory and Mathematics · 2019

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 57 citations into it
• Molecular Biology — 54 citations into it
• Computational Chemistry & Drug Discovery — 27 citations into it
• Materials Chemistry — 18 citations into it
• Pharmacology — 7 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom F. Silva-Jr trusts overall

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

1. Renxiao Wang
2. Ruth Huey

Papers from F. Silva-Jr's perspective

Ordered by how strongly the researchers F. Silva-Jr 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. Prediction of protein-ligand interactions. Docking and scoring: successes and gaps. (Journal of Medicinal Chemistry)
3. A fast flexible docking method using an incremental construction algorithm.
4. The PDBbind database: methodologies and updates.
5. Ligand efficiency: a useful metric for lead selection. (Drug Discovery Today)
6. Improved protein–ligand docking using GOLD
7. AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility
8. The Protein Data Bank
9. A semiempirical free energy force field with charge‐based desolvation (Journal of Computational Chemistry)
10. Molecular recognition and docking algorithms.

Their papers

• Key Topics in Molecular Docking for Drug Design (2019) — 520 citations