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2009
SYMPOSIUM

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

  1. An Overview of MENTOR and DORIAN (P.G. Georgopoulos, S. Isukapalli, S.W. Wang, A  Sasso, EOHSI/UMDNJ-RWJMS and Rutgers University)
  2. 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
  3. 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)
  4. Physiologically-Based Population ToxicoKinetic Models for Mixtures of Metals (A. Sasso, S.S. Isukapalli, P.G. Georgopoulos, EOHSI/UMDNJ-RWJMS and Rutgers University)
  5. 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)
  6. Flexible Mixture Modeling, With Applications to Gene Clustering and the Selection of Differentially Expressed Genes (R. Jornsten, Dept. of Statistics, Rutgers University)
  7. 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)
  8. 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)
  9. 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. Androulakis4,51USEPA, 2Dept. of Pharmacology, UMDNJ-RWJMS, 3EOHSI/UMDNJ-RWJMS and Rutgers University, 4 Dept. of Chemical & Biochemical Engineering, 5Dept. of Biomedical Engineering, Rutgers University)
  10. 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. Androulakis4,51USEPA, 2Dept. of Pharmacology, UMDNJ-RWJMS, 3EOHSI/UMDNJ-RWJMS and Rutgers University, 4 Dept. of Chemical & Biochemical Engineering, 5Dept. of Biomedical Engineering, Rutgers University)
  11. Development of Computational Tools for Optimal Identification of Biological Networks (X.J. Feng, H. Rabitz, Dept. of Chemistry, Princeton University)
  12. Shape Signatures: A Novel Tool for Computational Toxicology (D. Chekmarev, N. Ai, V. Kholodovych, S. Kortagere, W.J. Welsh, Dept. of Pharmacology, UMDNJ-RWJMS)
  13. 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)
  14. 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)
  15. 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)
  16. Structural Analysis of Toxicophore Interactions with Biomolecules (S. Kortagere, W.J. Welsh, Dept. of Pharmacology, UMDNJ-RWJMS)
  17. 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)
  18. 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)
  19. 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)
  20. A Novel Computational Framework for De Novo Protein Design (H.K. Fung, C.A. Floudas, Dept. of Chemical Engineering, Princeton University)
  21. 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)