David Ramírez
Computational Theory and Mathematics · with Caballero · 2018
A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 11 citations into it
- Molecular Biology — 10 citations into it
Whom David Ramírez trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Elizabeth Yuriev
- W. L. Jorgensen
- Ruth Huey
- Jian Yu
- Paul A. Ramsland
- Garrett M. Morris
- Yong Zhou
- Mathew Garnett
- Julian Tirado-Rives
- Arthur J. Olson
Papers from David Ramírez's perspective
Ordered by how strongly the researchers David Ramírez trusts endorse each paper. Same corpus, a different order for every researcher.
- A semiempirical free energy force field with charge‐based desolvation (Journal of Computational Chemistry)
- Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes
- Knowledge-based scoring function to predict protein-ligand interactions.
- Docking and scoring in virtual screening for drug discovery: methods and applications
- Guilty as charged: B-RAF is a human oncogene. (Cancer Cell)
- Development and Testing of the OPLS All-Atom Force Field on Conformational Energetics and Properties of Organic Liquids
- Roll: a new algorithm for the detection of protein pockets and cavities with a rolling probe sphere (Bioinform.)
- Latest developments in molecular docking: 2010–2011 in review (Journal of Molecular Recognition)
- Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy.
- AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization and multithreading