Pedro H. M. Torres
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 Pedro H. M. Torres trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Renxiao Wang
- Ruth Huey
- Pedro J. Ballester
- Marcel L. Verdonk
- H. Jhoti
- Yu Chen
- René Thomsen
- Garrett M. Morris
- Arthur J. Olson
- Brian K. Shoichet
Papers from Pedro H. M. Torres's perspective
Ordered by how strongly the researchers Pedro H. M. Torres 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
- Prediction of protein-ligand interactions. Docking and scoring: successes and gaps. (Journal of Medicinal Chemistry)
- A fast flexible docking method using an incremental construction algorithm.
- The PDBbind database: methodologies and updates.
- Ligand efficiency: a useful metric for lead selection. (Drug Discovery Today)
- Improved protein–ligand docking using GOLD
- AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility
- The Protein Data Bank
- A semiempirical free energy force field with charge‐based desolvation (Journal of Computational Chemistry)
- Molecular recognition and docking algorithms.
Their papers
- Key Topics in Molecular Docking for Drug Design (2019) — 520 citations