Workshop on
Integrative Approaches to Protein Folding & Aggregation
11-12 JUNE 2019, University of LISBON, PORTUGAL
http://folding2019.campus.ciencias.ulisboa.pt
In the last decade it has become increasingly accepted that progress in the field of protein folding requires a close dialogue between simulation and experiment.
The prospect of accurately assessing ever-larger timescales, as a result from progress on biomolecular modelling and simulation methodologies, opens up the possibility of using simulation to predict and interpret experimental data. On the other hand, the integration of experimental data with theory is critical for increasing the accuracy of force fields used in Molecular Dynamics simulations of biomolecules, and, therefore, experiments are crucial to improve simulations.
Furthermore, the recognition that protein folding pathologies and conformational disorders (e.g. highly debilitating degenerative disorders like Alzheimer’s and Parkinson’s diseases, and metabolic disorders) have an increasingly strong impact in our society and economy, calls for a much closer dialogue between basic science and clinical investigation in order to achieve effective therapeutic solutions.
The aim of this workshop is to bring together computational and experimental scientists with scientists doing translational research in order to foster the dialogue between the three communities so that novel and integrative approaches can be developed.
INVITED SPEAKERS (CONFIRMED)
Margarida Amaral, University of Lisbon, Portugal
Marek Cieplak, Institute of Physics, Poland
Bill Eaton, National Institutes of Health, USA
Ehud Gazit, Tel Aviv University, Israel
Cláudio Gomes, University of Lisbon, Portugal
Rita Horváth, University of Cambridge, UK
Sophie Jackson, University of Cambridge, UK
Paula Leandro, University of Lisbon, Portugal
Kresten Lindorff-Larsen, University of Copenhagen, Denmark
Miguel Machuqueiro, University of Lisbon, Portugal
Raffaello Potestio, University of Trento, Italy
Eugene Shakhnovich, Harvard University, USA
Dave Thirumalai, University of Texas at Austin, USA