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Computational Approaches to Study Protein Interactome in Context of Disease

Tuesday, October 25, 2011 — Concurrent Symposia Session II

10:00 a.m. – Noon

Ruth L. Kirschstein Auditorium


  • Myra Derbyshire, NLM
  • Maria Morasso, NIAMS


This symposium will illustrate how computational and systems biology methods are being used to study disease systems at different levels of organization. The functioning of a cell requires a variety of intermolecular interactions, and perturbations in interaction networks often result in cellular malfunction and disease. The accumulation of unprecedented experimental data produced by novel technologies means that now large-scale cellular networks are available for analysis for a wide range of organisms across the evolutionary spectrum. In this session we will specifically focus on network dynamics including regulation, disease-related perturbations, and in-silico models which provide control and predictive power. At the same time, we will showcase how the complexity of individual elements in the networks can be addressed by molecular biophysics and structural biology approaches which study the underlying physicochemical principles and may explain the molecular mechanisms of cellular function.

Genome-Scale Analysis of Single-Stranded DNA: Implications for Eukaryotic Gene Transcription *FARE Award Winner
Damian Wojtowicz, NLM

Identifying Causal Genes and Dysregulated Pathways in Complex Diseases
Teresa Przytycka, NLM

Exploring Structural Complexes for Large-Scale Mapping of Human Protein Interaction Network
Anna Panchenko, NLM

Computational and Experimental Analysis of Stimulus-Dependent p53 Dynamics in Single Cells
Eric Batchelor, NCI

Computational "Omics" Analyses of MicroRNA Functions and MicroRNA-mRNA Interactions
John Tsang, NIAID

Proteomic Approaches to the Studies of the Immune System Signaling Networks
Aleksandra Nita-Lazar, NIAID

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