Preliminary Program subject to change
10C03 Systems Engineering Approaches in Biology I
OverviewContributions to this session are sought that address recent advances and challenges in the application of system engineering approaches to problems of a biological nature. The topics of interest include, but are not limited to, the use of engineering tools to address problems such as the analysis of metabolic networks, mathematical analysis and simulation of biological processes, systems approaches in intracellular processes, analysis of signal transduction pathways, modeling of drug delivery systems using engineering approaches, and linear and nonlinear analysis of dynamic biosystems. We strongly encourage submissions that combine both experimental and computational approaches. Both fundamental and applied contributions are welcome.
Primary SponsorComputers in Operations and Information Processing (10c)
Co-Sponsor(s)Bioengineering (15c)

Chair

Wei-Yin Chen
Professor
University of Mississippi
Department of Chemical Engineering
Anderson Hall
University, MS 38677
Phone Number: (662)915-5651
Fax Number: (662)915-7023
Email: cmchengs@olemiss.edu

CoChair

Rajanikanth Vadigepalli
Research Assistant Professor
Daniel Baugh Institute for Functional Genomics and Computational Biology
Thomas Jefferson University
1020 Locust St
Room 575
Philadelphia, PA 19107
Phone Number: 215-503-2969
Fax Number: 215-503-2636
Email: raj@mail.dbi.tju.edu
A Novel Optimization-Based Clustering Approach and Prediction of Optimal Number of Clusters: Global Optimum Search with Enhanced Positioning (EP_GOS_Clust)
Meng Piao Tan1, James R. Broach2 and Christodoulos A. Floudas1, (1)Department of Chemical Engineering, Princeton University, Princeton, NJ 08544, (2)Department of Molecular Biology, Princeton University, Princeton, NJ 08544
Model Predictive Discrimination Approach for Classification of Process and Biological Data
Raghuraj K. Rao and Lakshminarayanan Samavedham, Chemical and Biomolecular Engineering, National University of Singapore, 4, Engineering Drive 4, Singapore, 117576, Singapore
A Bi-Level Optimisation Approach for the Productivity and the Thermodynamic Performance in Metabolic Systems
Mian Xu, Chemical Engg & Analytical Science, The University of Manchester, Manchester, United Kingdom, Robin Smith, Centre for Process Integration, The University of Manchester, Sackville Street, PO Box 88, M60 1QD, Manchester, United Kingdom and Jhuma Sadhukhan, Centre for Process Integration, School of Chemical Engineering & Analytical Science, The University of Manchester, P.O. Box 88, Manchester, M60 1QD, United Kingdom
Metabolic Flux Elucidation for Genome-Scale Models Using 13C Labeled Isotopes
Patrick F. Suthers1, Anthony Burgard2, Madhukar S. Dasika1, Farnaz Nowroozi3, Stephen Van Dien2, Jay D. Keasling4 and Costas D. Maranas5, (1)Department of Chemical Engineering, The Pennsylvania State University, 147 Fenske Lab, University Park, PA 16802, (2)Genomatica, Inc., 5405 Morehouse Drive Suite 210, San Diego, CA 92121, (3)UC, Berkeley, 201 Gilman Hall, Berkeley, CA 94720-1462, (4)Chemical Engineering and Bioengineering, UC, Berkeley, 201 Gilman Hall, Berkeley, CA 94720-1462, (5)Department of Chemical Engineering, The Pennsylvania State University, University Park, PA 16802
Identifying the Interacting Residues of a Protein Using Machine Learning: a Case-Study on Fluorescent Proteins
Anshul Dubey, School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, 311 Ferst Dr, Atlanta, GA 30332, Bernard Loo, GIT, IBB 3428, 315 Ferst Dr, Atlanta, GA 30332, Jay H. Lee, Chemical and Biomolecular Engineering, Georgia Institute of Technology, Ford Environmental Science & Technology Building 311 Ferst Drive, N.W., Atlanta, GA 30332, Matthew J. Realff, Chemical and Biomolecular Engineering, Georgia Tech, 311 Ferst Drive, N.W., Atlanta, GA 30332-0100 and Andreas S. Bommarius, Georgia Institute of Technology, School of Chemical Engineering, 315 Ferst Drive N.W., Parker H. Petit Biotechnology Institute, Room 3310, Atlanta, GA 30332-0363
Structured Singular Value Analysis of the Fas Apoptosis Pathway
Jason E. Shoemaker, Chemical Engineering, University of California, Santa Barbara, Santa Barbara, CA 93106 and Francis J. Doyle III, Chemical Engineering/Dept of Biomolecular Science and Engineering, University of California, Santa Barbara, Santa Barbara, CA 93106

Computing and Systems Technology Division