Quantitative Biology and Modeling Symposium

 

Poster Session

5:15-6:30 – Atrium BPS

 

1.     Arora, Sameer, Optimizing Side-chain Interactions in Protein-Ligand Interfaces

 

2.     Connelly, Brian, SimDB: The Simulation Database

 

3.     Criscione, Jason, X-ray Crystallographic and Solid-State Nuclear Magnetic Resonance Structural Studies of the Influenza Fusion Protein

 

4.     Goings, Sherri, A Study of Kin Selection and Kin-Cheaters in an Artificial Life System

 

5.     Halidi, Nadia, Minimal Requirements for Ca2+ Wave Initiation with Local and Global Perturbation: Theoretical Study

 

6.     Maggiora, Gerald, Application of Rough Set Theory to the Analysis of Chemically-Induced Gene Expression Patterns

 

7.     McKinlay, James, Using 13C-labeled Substrates to Develop Metabolic Models for and Quantify Metabolic Fluxes in Actinobacillus succinogenes Fermentative Metabolism

 

8.     Patil, Sachin, Involvement of Free Fatty Acids in the Pathogenesis of Alzheimer’s Disease

 

9.     Rupp, Matthew, Environmental Adaptation Through Non-uniform Substitutions in Digital Life

 

10.  Seibold, Steve, Molecular Dynamic Simulations of the Wild Type and Mutant (D25N) HIV Protease: Insights into Enzyme Activity and Drug Resistance

 

11.  Sukuru, Chetan, Structural Determinants of Brugia malayi Asparaginyl tRNA Synthetase Affinity and Specificity for Inhibitors Discovered by Structure-Based Screening

 

12.  Waldauer, Steven, Computational and Experimental Studies of Protein Electric Multipole Moments

 

13.  Xiong, Yalin, NTP-driven Translocation and Regulation of Downstream Bubble Opening by Multi-subunit RNA Polymerases

 

14.  Yao, Lishan, A Molecular Dynamics Exploration of Dihydroneopterin Aldolase and the Exit Path of its Product-bound Form

 

15.  Zavodszky, Maria, Modeling Flexibility in Molecular Recognition

 

16.  Zhang, Xi, Quantitative Mass Spectrometry Analysis of Caveolae/Lipid Rafts from Human Retinal Vascular Endothelial Cells Treated with Docosahexaenoic Acid

 

17.  Zhou, Youngcheng, The Multiple-Matched Interface (MMI) Method for the Prediction of Membrane Protein Structures