id: 06095278
dt: a
an: 06095278
au: Márquez-Chamorro, Alfonso E.; Divina, Federico; Aguilar-Ruiz, Jesús S.;
    Bacardit, Jaume; Asencio-Cortés, Gualberto; Santiesteban-Toca, Cosme
    E.
ti: A NSGA-II algorithm for the residue-residue contact prediction.
so: Giacobini, Mario (ed.) et al., Evolutionary computation, machine learning
    and data mining in bioinformatics. 10th European conference, EvoBIO
    2012, Málaga, Spain, April 11‒13, 2012. Proceedings. Berlin:
    Springer (ISBN 978-3-642-29065-7/pbk). Lecture Notes in Computer
    Science 7246, 234-244 (2012).
py: 2012
pu: Berlin: Springer
la: EN
cc: 
ut: protein structure prediction; contact map; multi-objective evolutionary
    computation
ci: 
li: doi:10.1007/978-3-642-29066-4_21
ab: Summary: We present a multi-objective evolutionary approach to predict
    protein contact maps. The algorithm provides a set of rules, inferring
    whether there is contact between a pair of residues or not. Such rules
    are based on a set of specific amino acid properties. These properties
    determine the particular features of each amino acid represented in the
    rules. In order to test the validity of our proposal, we have compared
    results obtained by our method with results obtained by other
    classification methods. The algorithm shows better accuracy and
    coverage rates than other contact map predictor algorithms. A
    statistical analysis of the resulting rules was also performed in order
    to extract conclusions of the protein folding problem.
rv: