Christopher W. Murray
According to our database1,
Christopher W. Murray
authored at least 19 papers
between 1995 and 2022.
Collaborative distances:
Collaborative distances:
Timeline
1995
2000
2005
2010
2015
2020
0
1
2
3
4
5
6
1
1
1
1
2
1
1
1
3
2
5
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2022
Meaningful machine learning models and machine-learned pharmacophores from fragment screening campaigns.
CoRR, 2022
2011
J. Comput. Aided Mol. Des., 2011
2008
J. Chem. Inf. Model., 2008
2004
J. Chem. Inf. Model., 2004
2002
The consequences of translational and rotational entropy lost by small molecules on binding to proteins.
J. Comput. Aided Mol. Des., 2002
Sensitivity of molecular docking to induced fit effects in influenza virus neuraminidase.
J. Comput. Aided Mol. Des., 2002
2000
New Approach to Molecular Docking and Its Application to Virtual Screening of Chemical Databases.
J. Chem. Inf. Comput. Sci., 2000
1999
The sensitivity of the results of molecular docking to induced fit effects: Application to thrombin, thermolysin and neuraminidase.
J. Comput. Aided Mol. Des., 1999
1998
Empirical scoring functions. II. The testing of an empirical scoring function for the prediction of ligand-receptor binding affinities and the use of Bayesian regression to improve the quality of the model.
J. Comput. Aided Mol. Des., 1998
1997
J. Comput. Aided Mol. Des., 1997
PRO_SELECT: Combining structure-based drug design and combinatorial chemistry for rapid lead discovery. 1. Technology.
J. Comput. Aided Mol. Des., 1997
Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes.
J. Comput. Aided Mol. Des., 1997
1996
J. Chem. Inf. Comput. Sci., 1996
Active-site-directed 3D database searching: Pharmacophore extraction and validation of hits.
J. Comput. Aided Mol. Des., 1996
1995
PRO_LIGAND: An Approach to de Novo Molecular Design, 5. Tools for the Analysis of Generated Structures.
J. Chem. Inf. Comput. Sci., 1995
PRO_LIGAND: An approach to de novo molecular design. 3. A genetic algorithm for structure refinement.
J. Comput. Aided Mol. Des., 1995
PRO_LIGAND: An approach to de novo molecular design. 6. Flexible fitting in the design of peptides.
J. Comput. Aided Mol. Des., 1995
PRO_LIGAND: An approach to de novo molecular design. 4. Application to the design of peptides.
J. Comput. Aided Mol. Des., 1995
PRO_LIGAND: An approach to de novo molecular design. 1. Application to the design of organic molecules.
J. Comput. Aided Mol. Des., 1995