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Christopher I. Williams
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2020 – today
- 2023
- [j12]Rekha Yoganathan
, V. Jamuna, Christopher I. Williams:
Cascaded Inner Loop Fuzzy SMC for DC-DC Boost Converter. J. Circuits Syst. Comput. 32(16): 2350269:1-2350269:18 (2023) - 2020
- [j11]Siduo Jiang, Miklos Feher, Christopher I. Williams, Brian Cole, David E. Shaw
:
AutoPH4: An Automated Method for Generating Pharmacophore Models from Protein Binding Pockets. J. Chem. Inf. Model. 60(9): 4326-4338 (2020) - [j10]Michael L. Drummond
, Andrew Henry, Huifang Li, Christopher I. Williams
:
Improved Accuracy for Modeling PROTAC-Mediated Ternary Complex Formation and Targeted Protein Degradation via New In Silico Methodologies. J. Chem. Inf. Model. 60(10): 5234-5254 (2020)
2010 – 2019
- 2019
- [j9]Michael L. Drummond
, Christopher I. Williams:
In Silico Modeling of PROTAC-Mediated Ternary Complexes: Validation and Application. J. Chem. Inf. Model. 59(4): 1634-1644 (2019) - 2013
- [j8]Stephen Maginn
, Paul Labute, Alain Ajamian, Christopher I. Williams:
Rationalisation and visualisation of non-bonded interactions. J. Cheminformatics 5(S-1): 48 (2013) - 2012
- [j7]Christopher R. Corbeil
, Christopher I. Williams, Paul Labute:
Variability in docking success rates due to dataset preparation. J. Comput. Aided Mol. Des. 26(6): 775-786 (2012) - [j6]Miklos Feher, Christopher I. Williams:
Numerical Errors and Chaotic Behavior in Docking Simulations. J. Chem. Inf. Model. 52(3): 724-738 (2012) - [j5]Miklos Feher, Christopher I. Williams:
Numerical Errors in Minimization Based Binding Energy Calculations. J. Chem. Inf. Model. 52(12): 3200-3212 (2012) - 2010
- [j4]Miklos Feher, Christopher I. Williams:
Reducing Docking Score Variations Arising from Input Differences. J. Chem. Inf. Model. 50(9): 1549-1560 (2010)
2000 – 2009
- 2009
- [j3]Miklos Feher, Christopher I. Williams:
Effect of Input Differences on the Results of Docking Calculations. J. Chem. Inf. Model. 49(7): 1704-1714 (2009) - 2008
- [j2]Christopher I. Williams, Miklos Feher:
The effect of numerical error on the reproducibility of molecular geometry optimizations. J. Comput. Aided Mol. Des. 22(1): 39-51 (2008)
1990 – 1999
- 1999
- [j1]Hua Gao, Christopher I. Williams, Paul Labute, Jürgen Bajorath:
Binary Quantitative Structure-Activity Relationship (QSAR) Analysis of Estrogen Receptor Ligands. J. Chem. Inf. Comput. Sci. 39(1): 164-168 (1999)
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