Curt Breneman was born in Santa Monica, California in 1956, and went on to earn a B.S. in Chemistry at UCLA in 1980 followed by a Ph.D. in Chemistry at UC Santa Barbara (with an emphasis on Physical Organic and Computational Chemistry) in 1987. Following two years of post-doctoral research at Yale University, Dr. Breneman joined the faculty of the Department of Chemistry at Rensselaer Polytechnic Institute (RPI) and began a program in molecular recognition and computational chemistry based on his concept of "Transferable Atom Equivalents", or TAEs, as building blocks for describing the electronic and reactive character of molecules. Dr. Breneman currently holds the rank of Full Professor in the RPI Department of Chemistry and Chemical Biology, and is the Director of the NIH RECCR Center. He later served as Head of the Department of Chemistry & Chemical Biology and now as Dean of the School of Science. The Breneman research group primarily specializes in the development of new molecular property descriptors and machine learning methods that can be applied to a diverse set of physical and biochemical problems. Of paramount interest are methods that can increase the information content of molecular descriptors, and machine learning techniques that can exploit this data for the creation of fully validated, predictive property models. Current application areas include pharmaceutical ADME prediction, virtual high-throughput screening of drug candidates, protein chromatography modeling (HIC and ion-exchange), as well as polymer property prediction.
Ph.D. in Chemistry at UC Santa Barbara (with an emphasis on Physical Organic and Computational Chemistry) 1987
Focus AreaCheminformatics, Materials Informatics, Drug Discovery Software, Computational ADME/Tox, Data Analytics
Selected Scholarly WorksCC Wang, G Pilania, SA Boggs, S Kumar, C Breneman*, R Ramprasad* “Computational strategies for polymer dielectrics design” Polymer (2014) 55(4) 979–988.
T Potta, Z Zhen, TSP Grandhi, MD Christensen, J Ramos, CM Breneman* “Discovery of antibiotics-derived polymers for gene delivery using combinatorial synthesis and cheminformatics modeling” Biomaterials (2014) 35(6), 1977-1988.
Zaretzki, Jed; Bergeron, Charles; Huang, Tao-wei; Rydberg, Patrik; Swamidass, S. Joshua; Breneman, Curt M.* “RS-WebPredictor: a server for predicting CYP-mediated sites of metabolism on drug-like molecules” Bioinformatics (2013), 29(4), 497-498
T Huang, J Zaretzki, C Bergeron, KP Bennett, CM Breneman* “DR-Predictor: Incorporating flexible docking with specialized electronic reactivity and machine learning techniques to predict CYP-mediated sites of metabolism” Journal of chemical information and modeling (2013) 53 (12), 3352-3366
Curt Breneman*, L.C. Brinson, L.S. Schadler, B. Natarajan, M. Krein, K. Wu, L. Morkowchuk, Y. Li, H. Deng, H. Xu. "Stalking the Materials Genome: A Data-Driven Approach to the Virtual Design of Nanostructured Polymers”, Advanced Functional Materials (2013) 23 (46), 5746-5752.
G. Pilania, CC Wang, K Wu, N Sukumar, C Breneman*, G Sotzing and R. Ramprasad* “New group IV chemical motifs for improved dielectric permittivity of polyethylene” Journal of chemical information and modeling (2013) 53 (4), 879-886.
JM Shoulder, NS Alderman, CM Breneman, MC Nyman* “Polycyclic aromatic hydrocarbon reaction rates with peroxy-acid treatment: prediction of reactivity using local ionization potential” SAR and QSAR in Environmental Research (2013) 24 (8), 611-624.
C Bergeron, G. Moore, J. Zaretzki, C.M. Breneman*, K.P Bennett* “A Fast Bundle Algorithm for Multiple Instance Learning” IEEE Transactions on Pattern Analysis & Machine Intelligence, (2012), 34(6), 1068-1079
Sukumar, N.; Krein, Michael; Luo, Qiong; Breneman, Curt* “MQSPR modeling in materials informatics: a way to shorten design cycles?” Journal of Materials Science (2012), 47(21), 7703-7715.
Zaretzki, Jed; Rydberg, Patrik; Bergeron, Charles; Bennett, Kristin P.; Olsen, Lars; Breneman, Curt M.* “RS-Predictor Models Augmented with SMARTCyp Reactivities: Robust Metabolic Regioselectivity Predictions for Nine CYP Isozymes” Journal of Chemical Information and Modeling (2012), 52(6), 1637-1659.
Lavine, Barry K.; White, Collin; Mirjankar, Nikhil; Sundling, C. Matthew; Breneman, Curt M.* “Odor-Structure Relationship Studies of Tetralin and Indan Musks” Chemical Senses (2012), 37(8), 723-736.
C. Bergeron, G. Moore, M. Krein, C. Breneman, KP Bennett “Exploiting Domain Knowledge for Improved Quantitative High-Throughput Screening Curve Fitting” J. Chem. Inf. Model 51(11) 2808-2820 (2011)
M. McLellan, D. Ryan, C. Breneman* “Rank Order Entropy: Why One Metric is Not Enough” J. Chem. Inf. Model 51(9) 2302-2319 (2011)
Zaretzki, J.; Bergeron, C.; Rydberg, P.; Huang, T.-w.; Bennett, K. P.; Breneman, C. M. "Rs-Predictor: A New Tool for Predicting Sites of Cytochrome P450-Mediated Metabolism Applied to Cyp 3a4" J. Chem. Inf. Model. 2011, 51, 1667-1689.
C. Bergeron, M. Krein, G. Moore, C. Breneman, KP Bennett “Modeling Choices for Virtual Screening Hit Identification”. Molecular Informatics, 30(9), 765-777 (2011)
Das, S.; Krein, M. P.; Breneman, C. M. "Binding Affinity Prediction with Property-Encoded Shape Distribution Signatures" J. Chem. Inf. Model. 2010, 50, 298-308.
Das, S.; Krein, M. P.; Breneman, C. M. "Pesdserv: A Server for High-Throughput Comparison of Protein Binding Site Surfaces" Bioinformatics 2010, 26, 1913-1914.
Morrison, C. J.; Breneman, C. M.; Moore, J. A.; Cramer, S. M. "Evaluation of Chemically Selective Displacer Analogues for Protein Purification" Anal. Chem. 2009, 81, 6186-6194.
Das, S.; Kokardekar, A.; Breneman, C. M. "Rapid Comparison of Protein Binding Site Surfaces with Property Encoded Shape Distributions" J. Chem. Inf. Model. 2009, 49, 2863-2872.
Sukumar, N.; Krein, M.; Breneman, C. M. "Bioinformatics and Cheminformatics: Where Do the Twain Meet?" Curr. Opin. Drug Discovery Dev. 2008, 11, 311-319.
Yang, T.; Sundling, M. C.; Freed, A. S.; Breneman, C. M.; Cramer, S. M. "Prediction of Ph-Dependent Chromatographic Behavior in Ion-Exchange Systems" Anal. Chem. 2007, 79, 8927-8939.