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Poster Presentations from ebCTC 2006 Overview Workshop
at EOHSI, November 17, 2006

- An Overview of MENTOR and DORIAN (P.G. Georgopoulos, S. Isukapalli, S.W. Wang, A Sasso, EOHSI/UMDNJ-RWJMS and Rutgers University)
- Optimized Bayesian Inversion of Biological Data using Mechanistic Models (S. Isukapalli1, A. Sasso1, S.W. Wang1, M.G. Ierapetritou2, P.G. Georgopoulos1 - 1EOHSI/UMDNJ-RWJMS and Rutgers University; 2Dept. of Chemical and Biochemical Engineering
- Gene Expression Profiles of Rodent Pulmonary Tissue Following Sulfur Mustard Exposure Using ArrayTrack (M. Chen1, W. Tong3, W. Welsh1,2, P.G. Georgopoulos1 - 1EOHSI/UMDNJ-RWJMS and Rutgers University; 2Dept. of Pharmacology, UMDNJ-RWJMS; 3USFDA-NCTR Center for Toxicoinformatics)
- Physiologically-Based Population ToxicoKinetic Models for Mixtures of Metals (A. Sasso, S.S. Isukapalli, P.G. Georgopoulos, EOHSI/UMDNJ-RWJMS and Rutgers University)
- Age and Gender Considerations in Physiologically Based Population ToxicoKinetics (A. Sasso, P. Shade, S.S. Isukapalli, P.G. Georgopoulos, EOHSI/UMDNJ-RWJMS and Rutgers University)
- Flexible Mixture Modeling, With Applications to Gene Clustering and the Selection of Differentially Expressed Genes (R. Jornsten, Dept. of Statistics, Rutgers University)
- Reaction and Pathway Analysis of Hepatic Metabolism (H.Yang1, C.M. Roth1,2, M.G. Ierapetritou1 - 1Dept. of Chemical and Biochemical Engineering, 2Dept. of Biomedical Engineering, Rutgers University)
- Modeling Metabolic Relationships in Acetaminophen-Induced Hepatotoxicity (S. Guzikowski1, M.G. Ierapetritou1, C.M. Roth1,2 - 1Dept. of Chemical & Biochemical Engineering, 2Dept. of Biomedical Engineering, Rutgers University)
- Temporal Expression Profiling to Assess Dynamics of Exposure to DBP (S. Euling1, B. Sen1, W. Welsh2, P.G. Georgopoulos3, M. Ovacik4, M.G. Ierapetritou4, I. Androulakis4,5 – 1USEPA, 2Dept. of Pharmacology, UMDNJ-RWJMS, 3EOHSI/UMDNJ-RWJMS and Rutgers University, 4 Dept. of Chemical & Biochemical Engineering, 5Dept. of Biomedical Engineering, Rutgers University)
- Expression Profiling to Assess Developmental Effects of Exposure to DBP (S. Euling1, B. Sen1, W. Welsh2, P.G. Georgopoulos3, M. Ovacik4, M.G. Ierapetritou4, I. Androulakis4,5 – 1USEPA, 2Dept. of Pharmacology, UMDNJ-RWJMS, 3EOHSI/UMDNJ-RWJMS and Rutgers University, 4 Dept. of Chemical & Biochemical Engineering, 5Dept. of Biomedical Engineering, Rutgers University)
- Development of Computational Tools for Optimal Identification of Biological Networks (X.J. Feng, H. Rabitz, Dept. of Chemistry, Princeton University)
- Shape Signatures: A Novel Tool for Computational Toxicology (D. Chekmarev, N. Ai, V. Kholodovych, S. Kortagere, W.J. Welsh, Dept. of Pharmacology, UMDNJ-RWJMS)
- Shape Signatures Database of PDB-Extracted Ligands for Computational Toxicology (N. Ai, D. Chekmarev, P. Zhang, V. Kholodovych, W.J. Welsh, Dept. of Pharmacology, UMDNJ-RWJMS)
- Computational Models for Predicting the Binding Affinities of Ligands for the Androgen Receptor (N. Ai, S-J. Yu, R.K. Delisle, W.J. Welsh, Dept. of Pharmacology, UMDNJ-RWJMS)
- Regulation of the Clearance Mechanism of Environmental Pollutants and Xenobiotic Chemicals by the Pregnane X Receptor (PXR): Structural Requirements and Species to Species Extrapolation (V. Kholodovych1, M.M. Tabb2, B. Blumberg2, W.J. Welsh1 - 1Dept. of Pharmacology, UMDNJ-RWJMS, 2Dept. of Developmental & Cell Biology, School of Biological Sciences, University of California, Irvine)
- Structural Analysis of Toxicophore Interactions with Biomolecules (S. Kortagere, W.J. Welsh, Dept. of Pharmacology, UMDNJ-RWJMS)
- High Resolution Cα- Cα and Side Chain Centroid Based Distance Dependent Force Fields (R. Rajgaria, S.R. McAllister, C.A. Floudas, Dept. of Chemical Engineering, Princeton University)
- De Novo Peptide Identification via Tandem Mass Spectrometry and Mixed-Integer Linear Optimization (P.A. DiMaggio Jr., C.A. Floudas, Dept. of Chemical Engineering, Princeton University)
- A Novel Optimization-Based Iterative Clustering Approach to Uncover Biologically Coherent Structures (M.P. Tan1, J.R. Broach2, C.A. Floudas1 - 1Dept. of Chemical Engineering, 2Dept. of Molecular Biology, Princeton University)
- A Novel Computational Framework for De Novo Protein Design (H.K. Fung, C.A. Floudas, Dept. of Chemical Engineering, Princeton University)
- A Novel Approach for α-helical Topology Prediction in Globular Proteins (S.R. McAllister, B.E. Mickus, J.L. Klepeis, C.A. Floudas, Dept. of Chemical Engineering, Princeton University)
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