Christopher I. Williams

According to our database, Christopher I. Williams authored at least 12 papers between 1999 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Cascaded Inner Loop Fuzzy SMC for DC-DC Boost Converter.

Rekha Yoganathan, V. Jamuna, Christopher I. Williams

J. Circuits Syst. Comput., November, 2023

2020

AutoPH4: An Automated Method for Generating Pharmacophore Models from Protein Binding Pockets.

Siduo Jiang, Miklos Feher, Christopher I. Williams, Brian Cole, David E. Shaw

J. Chem. Inf. Model., 2020

Improved Accuracy for Modeling PROTAC-Mediated Ternary Complex Formation and Targeted Protein Degradation via New In Silico Methodologies.

Michael L. Drummond, Andrew Henry, Huifang Li, Christopher I. Williams

J. Chem. Inf. Model., 2020

2019

In Silico Modeling of PROTAC-Mediated Ternary Complexes: Validation and Application.

Michael L. Drummond, Christopher I. Williams

J. Chem. Inf. Model., 2019

2013

Rationalisation and visualisation of non-bonded interactions.

Stephen Maginn, Paul Labute, Alain Ajamian, Christopher I. Williams

J. Cheminformatics, 2013

2012

Numerical Errors in Minimization Based Binding Energy Calculations.

Miklos Feher, Christopher I. Williams

J. Chem. Inf. Model., 2012

Numerical Errors and Chaotic Behavior in Docking Simulations.

Miklos Feher, Christopher I. Williams

J. Chem. Inf. Model., 2012

Variability in docking success rates due to dataset preparation.

Christopher R. Corbeil, Christopher I. Williams, Paul Labute

J. Comput. Aided Mol. Des., 2012

2010

Reducing Docking Score Variations Arising from Input Differences.

Miklos Feher, Christopher I. Williams

J. Chem. Inf. Model., 2010

2009

Effect of Input Differences on the Results of Docking Calculations.

Miklos Feher, Christopher I. Williams

J. Chem. Inf. Model., 2009

2008

The effect of numerical error on the reproducibility of molecular geometry optimizations.

Christopher I. Williams, Miklos Feher

J. Comput. Aided Mol. Des., 2008

1999

Binary Quantitative Structure-Activity Relationship (QSAR) Analysis of Estrogen Receptor Ligands.

Hua Gao, Christopher I. Williams, Paul Labute, Jürgen Bajorath

J. Chem. Inf. Comput. Sci., 1999