Workshop "Natural computing for protein structure prediction" at PPSN 2014 (13th International Conference on Parallel Problem Solving from Nature), September 13-17, 2014, Ljubljana, Slovenia.

Overview:

Independent of its starting conformation, a protein in its natural environment folds into a unique three dimensional structure, the native structure. Understanding the native structure of a protein is crucial, as the structure can provide insight into the functional roles of a protein and the specific mechanisms of its biological function. As the output of experimentally determined protein structures lags behind the output of protein sequences, the computational prediction of protein structure remains a "holy grail" of computational biology.

The aim of this workshop is to provide a forum for the exchange and communication of ideas, proposals and results related to the use of nature-inspired techniques in problems related to computational protein structure prediction. In tackling this important problem, nature-inspired techniques are currently being used in a variety of ways, but presentations related to this work are often distributed across a range of sessions / conferences / journals dependent on the particular sub-problem considered / algorithm used. It is hoped that this workshop will act as a meeting point for those authors and attendants of the PPSN conference who have a current or developing interest in this area.


More information at:

http://www.dc.fi.udc.es/ai/~santos/ppsn2014/Natural_computing_for_protein_structure_prediction.html

Organizers: J. Santos – University A Coruña (Spain), Gregorio Toscano - Cinvestav, Information Technology Lab - Tamaulipas (México), Julia Handl - University of Manchester (UK).