Curt M. Breneman

According to our database1, Curt M. Breneman authored at least 26 papers between 1995 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Cadre Modeling: Simultaneously Discovering Subpopulations and Predictive Models.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2013
New Group IV Chemical Motifs for Improved Dielectric Permittivity of Polyethylene.
J. Chem. Inf. Model., 2013

DR-Predictor: Incorporating Flexible Docking with Specialized Electronic Reactivity and Machine Learning Techniques to Predict CYP-Mediated Sites of Metabolism.
J. Chem. Inf. Model., 2013

RS-WebPredictor: a server for predicting CYP-mediated sites of metabolism on drug-like molecules.
Bioinform., 2013

2012
Fast Bundle Algorithm for Multiple-Instance Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

RS-Predictor Models Augmented with SMARTCyp Reactivities: Robust Metabolic Regioselectivity Predictions for Nine CYP Isozymes.
J. Chem. Inf. Model., 2012

2011
RS-Predictor: A New Tool for Predicting Sites of Cytochrome P450-Mediated Metabolism Applied to CYP 3A4.
J. Chem. Inf. Model., 2011

Rank Order Entropy: Why One Metric Is Not Enough.
J. Chem. Inf. Model., 2011

Exploiting Domain Knowledge for Improved Quantitative High-Throughput Screening Curve Fitting.
J. Chem. Inf. Model., 2011

Prediction of peptide bonding affinity: kernel methods for nonlinear modeling
CoRR, 2011

2010
Binding Affinity Prediction with Property-Encoded Shape Distribution Signatures.
J. Chem. Inf. Model., 2010

PESDserv: a server for high-throughput comparison of protein binding site surfaces.
Bioinform., 2010

2009
Rapid Comparison of Protein Binding Site Surfaces with Property Encoded Shape Distributions.
J. Chem. Inf. Model., 2009

2008
Multiple instance ranking.
Proceedings of the Machine Learning, 2008

2007
Data Fusion and Auto-fusion for Quantitative Structure-Activity Relationship (QSAR).
Proceedings of the Artificial Neural Networks, 2007

2006
Chemometric Analysis of Ligand Receptor Complementarity: Identifying Complementary Ligands Based on Receptor Information (CoLiBRI).
J. Chem. Inf. Model., 2006

2005
Investigation of DNA-Binding Properties of an Aminoglycoside-Polyamine Library Using Quantitative Structure-Activity Relationship (QSAR) Models.
J. Chem. Inf. Model., 2005

2004
Predicting Protein-Ligand Binding Affinities Using Novel Geometrical Descriptors and Machine-Learning Methods.
J. Chem. Inf. Model., 2004

2003
Dimensionality Reduction via Sparse Support Vector Machines.
J. Mach. Learn. Res., 2003

Electronic van der Waals Surface Property Descriptors and Genetic Algorithms for Developing Structure-Activity Correlations in Olfactory Databases.
J. Chem. Inf. Comput. Sci., 2003

Transferable atom equivalent multicentered multipole expansion method.
J. Comput. Chem., 2003

New developments in PEST shape/property hybrid descriptors.
J. Comput. Aided Mol. Des., 2003

2002
Prediction of Protein Retention Times in Anion-Exchange Chromatography Systems Using Support Vector Regression.
J. Chem. Inf. Comput. Sci., 2002

2000
Data strip mining for the virtual design of pharmaceuticals with neural networks.
IEEE Trans. Neural Networks Learn. Syst., 2000

1997
QSPR analysis of HPLC column capacity factors for a set of high-energy materials using electronic van der waals surface property descriptors computed by transferable atom equivalent method.
J. Comput. Chem., 1997

1995
Electron Density Modeling of Large Systems Using the Transferable Atom Equivalent Method.
Comput. Chem., 1995


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