Douglas B. Kitchen

Computational Chemistry & Drug Discovery · 2004

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Douglas B. Kitchen trusts overall

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

  1. Tom L. Blundell
  2. Mark A. Murcko
  3. Marcel L. Verdonk
  4. Christopher W. Murray
  5. Mark McGann
  6. Martin Karplus
  7. Jürgen Bajorath
  8. H. Jhoti
  9. Jason C. Cole

Who trusts Douglas B. Kitchen overall

  1. Luca Pinzi
  2. Veronica Salmaso
  3. Zhong-Ru Xie
  4. Sérgio Filipe Sousa
  5. Maria Batool
  6. Janaina Cruz Pereira
  7. Jiyu Fan
  8. Gregory Sliwoski
  9. Bilal Shaker
  10. Pradeep Anand Ravindranath

Papers from Douglas B. Kitchen's perspective

Ordered by how strongly the researchers Douglas B. Kitchen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Improved protein–ligand docking using GOLD
  2. Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes
  3. A new test set for validating predictions of protein–ligand interaction (Proteins: Structure, Function, and Bioinformatics)
  4. A general and fast scoring function for protein-ligand interactions: a simplified potential approach.
  5. Consensus scoring: A method for obtaining improved hit rates from docking databases of three-dimensional structures into proteins.
  6. Functionality maps of binding sites: A multiple copy simultaneous search method
  7. A computational procedure for determining energetically favorable binding sites on biologically important macromolecules.
  8. Structural interaction fingerprint (SIFt): a novel method for analyzing three-dimensional protein-ligand binding interactions. (Journal of Medicinal Chemistry)
  9. High-throughput crystallography for lead discovery in drug design
  10. The Protein Data Bank and the challenge of structural genomics

Their papers