caa a22 4500 445842660 CHVBK 20180317145349.0 cr unu---uuuuu 170323e20110301xx s 000 0 eng 10.1007/s11047-010-9196-y doi (NATIONALLICENCE)springer-10.1007/s11047-010-9196-y On discrete models and immunological algorithms for protein structure prediction [Elektronische Daten] [Vincenzo Cutello, Giuseppe Morelli, Giuseppe Nicosia, Mario Pavone, Giuseppe Scollo] Discrete models for protein structure prediction embed the protein amino acid sequence into a discrete spatial structure, usually a lattice, where an optimal tertiary structure is predicted on the basis of simple assumptions relating to the hydrophobic-hydrophilic character of amino acids in the sequence and to relevant interactions for free energy minimization. While the prediction problem is known to be NP complete even in the simple setting of Dill's model with a 2D-lattice, a variety of bio-inspired algorithms for this problem have been proposed in the literature. Immunological algorithms are inspired by the kind of optimization that immune systems perform when identifying and promoting the replication of the most effective antibodies against given antigens. A quick, state-of-the-art survey of discrete models and immunological algorithms for protein structure prediction is presented in this paper, and the main design and performance features of an immunological algorithm for this problem are illustrated in a tutorial fashion. Springer Science+Business Media B.V., 2010 Artificial immune system nationallicence Clonal selection algorithm nationallicence Dill model nationallicence Evolutionary algorithm nationallicence Functional model protein nationallicence HP model nationallicence Immunological algorithm nationallicence Protein folding nationallicence Protein structure prediction nationallicence Cutello Vincenzo Department of Mathematics and Computer Science, University of Catania, Catania, Italy aut Morelli Giuseppe Department of Mathematics and Computer Science, University of Catania, Catania, Italy aut Nicosia Giuseppe Department of Mathematics and Computer Science, University of Catania, Catania, Italy aut Pavone Mario Department of Mathematics and Computer Science, University of Catania, Catania, Italy aut Scollo Giuseppe Department of Mathematics and Computer Science, University of Catania, Catania, Italy aut Natural Computing Springer Netherlands 10/1(2011-03-01), 91-102 1567-7818 10:1<91 2011 10 11047 https://doi.org/10.1007/s11047-010-9196-y text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11047-010-9196-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Cutello Vincenzo Department of Mathematics and Computer Science, University of Catania, Catania, Italy aut NATIONALLICENCE 700 1- Morelli Giuseppe Department of Mathematics and Computer Science, University of Catania, Catania, Italy aut NATIONALLICENCE 700 1- Nicosia Giuseppe Department of Mathematics and Computer Science, University of Catania, Catania, Italy aut NATIONALLICENCE 700 1- Pavone Mario Department of Mathematics and Computer Science, University of Catania, Catania, Italy aut NATIONALLICENCE 700 1- Scollo Giuseppe Department of Mathematics and Computer Science, University of Catania, Catania, Italy aut NATIONALLICENCE 773 0- Natural Computing Springer Netherlands 10/1(2011-03-01), 91-102 1567-7818 10:1<91 2011 10 11047 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer