SIAM Conference on Computational Sciene and Engineering Feb 10--13 2002 Hyatt Regency Islandia Hotel San Diego CA Minisymposia on Bioinformatics and Computational Biology For more information visit, http://www.siam.org/meetings/cse03/index.htm Tuesday, February 11 MS25 Computational Modeling in Proteomics 10:30 AM - 12:30 PM Room: Regency Ballroom A Now that the genomes of many organisms have been sequenced, a major challenge is the characterization of the proteins (numbering in the hundreds of thousands) and protein complexes that drive cellular function. High-throughput technologies such as mass spectrometry and NMR are being developed to characterize the sequence, structure, and function of proteins. A related computational effort is the study of which proteins interact with each other, and the characterization of protein interaction networks. The Department of Energy's new Genomes to Life program is an active sponsor of this work. The speakers in this session will discuss some of the developments in the newly emerging field of computational proteomics. Related work on how protein interaction data is used in cell-level modeling will be discussed by speakers in mini-sympoium MS61. Organizers: Alex Pothen, Old Dominion University and Sandia National Laboratories Steve Plimpton, Sandia National Laboratories 10:30-10:55 Hybrid Methods for Protein Structure Determination: Application of Computational Methods and Sparse Experimental Data Ying Xu, Oak Ridge National Laboratory 11:00-11:25 Enumerating and Counting Protein Folds using Distance Information Jean-Loup Faulon, Alex Slepoy, Malin Young, and Mark Rintoul, Sandia National Laboratories 11:30-11:55 Enhancing Protein Secondary Structure Prediction by Sequence-to-Structure Alignments Rafal Adamczak, Aleksey Porollo, and Jarek Meller, University of Cincinnati 12:00-12:25 Graph and Hypergraph Models of Protein Interaction Networks Alex Pothen, Old Dominion University and Sandia National Laboratories Tuesday, February 11 MS37 Computational Cell Biology 3:15 PM - 5:15 PM Room: Regency Ballroom A For Part II, see MS61 This mini-symposium concentrates on the relatively new and emerging discipline of computational cell biology, where quantitative computer models are used to simulate various aspects of the structure and function of Eucaryotic and Procaryotic cells. Several levels of complexity exist in generating these "virtual" cell models that progress from simulating well mixed, time-dependent, reaction kinetics to fully 3-D, spatially resolved, time-dependent, reaction/diffusion/advection models. The seminars within this mini-symposium will cover computational cell biology models, codes and environments for simulating either intra- and extra-cellular processes. Specific subjects to be covered include models, algorithms, data management, code development, parallel computing, and biologist/code interfaces relevant to computational cell biology. Organizer: Petri Fast, Lawrence Livermore National Laboratory Harold E. Trease, Pacific Northwest National Laboratory Steven J. Plimpton, Sandia National Laboratories 3:15-3:40 The Virtual Microbial Cell Simulator (VMCS): A Computational Simulation Hierarchy for Modeling the Systems Biology of Microbial Cells Harold E. Trease, Pacific Northwest National Laboratory 3:45-4:10 Optimized Monte Carlo Methods for Large-scale Microphysiological Modeling Thomas M. Bartol, The Salk Institute; Joel Stiles, Pittsburgh Supercomputing Center 4:15-4:40 A Three-dimensional Overset Grid Model of Ca$^{2+}$ Waves in {\em Xenopus Laevis} Eggs Petri Fast, Lawrence Livermore National Laboratory 4:45-5:10 The Virtual Cell Project Les Loew, University of Connecticut Wednesday, February 12 MS61 Computational Cell Biology 3:15 PM - 5:15 PM Room: Regency Ballroom A For Part I, see MS37 This mini-symposium concentrates on the relatively new and emerging discipline of computational cell biology, where quantitative computer models are used to simulate various aspects of the structure and function of Eucaryotic and Procaryotic cells. Several levels of complexity exist in generating these "virtual" cell models that progress from simulating well mixed, time-dependent, reaction kinetics to fully 3-D, spatially resolved, time-dependent, reaction/diffusion/advection models. The seminars within this mini-symposium will cover computational cell biology models, codes and environments for simulating either intra- and extra-cellular processes. Specific subjects to be covered include models, algorithms, data management, code development, parallel computing, and biologist/code interfaces relevant to computational cell biology. Organizer: Petri Fast, Lawrence Livermore National Laboratory Harold E. Trease, Pacific Northwest National Laboratory Steven J. Plimpton, Sandia National Laboratories 3:15-3:40 Studying the Alpha Pathway in Yeast with Moleculizer Larry Lok, The Molecular Sciences Institute 3:45-4:10 The Impact of Spatial Realism on Microphysiological Models Joel Stiles, Pittsburgh Supercomputing Center; Thomas M. Bartol, The Salk Institute 4:15-4:40 Mesh Generation and Modeling of Biological Systems Using Cubit Jason Shepherd, Sandia National Laboratories 4:45-5:10 Application of Continuum, Unstructured Finite Element Numerical Methods to Spatial Models of Intracellular Calcium Dynamics Shawn Means, Sandia National Labor