Wijnand T. M. Mooij
Computational Chemistry & Drug Discovery · 2004–2007
A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computational Chemistry & Drug Discovery — 31 citations into it
- Computational Theory and Mathematics — 31 citations into it; #9,563 of 12,182 by trust here, #937 by citations
- Molecular Biology — 31 citations into it; #15,578 of 17,773 by trust here, #6,685 by citations
- Materials Chemistry — 11 citations into it; #9,898 of 11,513 by trust here, #6,817 by citations
- Radiology, Nuclear Medicine and Imaging — 7 citations into it; #2,899 of 3,265 by trust here, #1,741 by citations
Whom Wijnand T. M. Mooij trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Holger Gohlke
- Marcel L. Verdonk
- J. Willem M. Nissink
- Christopher W. Murray
- Jason C. Cole
- Gerhard Klebe
- Manfred Hendlich
- Matthias Rarey
- David Weininger
Who trusts Wijnand T. M. Mooij overall
Papers from Wijnand T. M. Mooij's perspective
Ordered by how strongly the researchers Wijnand T. M. Mooij trusts endorse each paper. Same corpus, a different order for every researcher.
- A general and fast scoring function for protein-ligand interactions: a simplified potential approach.
- A new test set for validating predictions of protein–ligand interaction (Proteins: Structure, Function, and Bioinformatics)
- Improved protein–ligand docking using GOLD
- CHARMM: A program for macromolecular energy, minimization, and dynamics calculations
- Approaches to the description and prediction of the binding affinity of small-molecule ligands to macromolecular receptors. (Angewandte Chemie)
- Consensus scoring for ligand/protein interactions. (Journal of Molecular Graphics and Modelling)
- Knowledge-based scoring function to predict protein-ligand interactions.
- DOCK 4.0: Search strategies for automated molecular docking of flexible molecule databases
- EUDOC: a computer program for identification of drug interaction sites in macromolecules and drug leads from chemical databases
- Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes
Their papers
- Diverse, high-quality test set for the validation of protein-ligand docking performance. (2007) — 619 citations
- Virtual Screening Using Protein-Ligand Docking: Avoiding Artificial Enrichment (2004) — 311 citations
- General and targeted statistical potentials for protein–ligand interactions (2005) — 335 citations