[alife] GECCO 2017 Workshop “Evolutionary Computation in Computational Biology”

[José Santos Reyes]

GECCO 2017 Workshop “ Evolutionary Computation in Computational Biology” 




http://eccsb2017.irlab.org/ 




http://gecco-2017.sigevo.org/index.html/HomePage 



In the last two decades, many computer scientists in Artificial Intelligence have made significant contributions to modeling biological systems as a means of understanding the molecular basis of mechanisms in the healthy and diseased cell. The field of computational biology includes the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological, behavioral, and social systems . The focus of this workshop is the use of nature-inspired approaches to central problems in computational biology, including optimization methods under the umbrella of evolutionary computation. 



Areas of interest include (but are not restricted to): 

    * Genome and sequence analysis with nature-inspired approaches. 
    * Computational systems biology. 
    * Biological network modeling and analysis. 
    * Use of artificial life models like cellular automata or Lindenmayer systems in the modeling of biological problems. 
    * Study and analysis of properties of biological systems like self-organization, self-assembled systems, emergent behavior or morphogenesis. 
    * Hybrid approaches and memetic algorithms in the modeling of computational biology problems. 
    * Multi-objective approaches in the modeling of computational biology problems. 
    * Use of natural and evolutionary computation algorithms in protein structure classification and prediction (secondary and tertiary). 
    * Mapping of protein and peptide energy landscapes. 
    * Modeling of temporal folding of proteins. 
    * Protein design. 
    * Protein-ligand and protein-protein docking. 
    * Stability and dynamics of biomolecular systems. 
    * Applications in atomic clusters: Water clusters, Leonard Jones clusters, metal clusters, etc. 
    * Applications in cellular systems: micelle, single organisms, bacterial cells, etc. 
    * Applications in stem cell differentiation and development, lineage programming and cell fates. 
    * Evolutionary search strategies to assist cryo-electron microscopy and other experimental techniques in model building. 
    * Surrogate models and stochastic approximations of computationally expensive fitness functions of biomolecular systems. 





-- 
José Santos Reyes 
Departamento de Computación 
Facultad de Informática 
Universidad de A Coruña 
tf: 981167000 Ext 1257 
http://www.dc.fi.udc.es/ai/~santos/santos.html