Evolutionary Design of the Energy Function for Protein Structure Prediction

Created by W.Langdon from gp-bibliography.bib Revision:1.4333

  author =       "Pawel Widera and Jonathan M. Garibaldi and 
                 Natalio Krasnogor",
  title =        "Evolutionary Design of the Energy Function for Protein
                 Structure Prediction",
  booktitle =    "2009 IEEE Congress on Evolutionary Computation",
  year =         "2009",
  editor =       "Andy Tyrrell",
  pages =        "1305--1312",
  address =      "Trondheim, Norway",
  month =        "18-21 " # may,
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  isbn13 =       "978-1-4244-2959-2",
  file =         "P284.pdf",
  DOI =          "doi:10.1109/CEC.2009.4983095",
  abstract =     "Automatic protein structure predictors use the notion
                 of energy to guide the search towards good candidate
                 structures. The energy functions used by the
                 state-of-the-art predictors are defined as a linear
                 combination of several energy terms designed by human
                 experts. We hypothesised that the energy based guidance
                 could be more accurate if the terms were combined more
                 freely. To test this hypothesis, we designed a genetic
                 programming algorithm to evolve the protein energy
                 function. Using several different fitness functions we
                 examined the potential of the evolutionary approach on
                 a set of candidate structures generated during the
                 protein structure prediction process. Although our
                 algorithms were able to improve over the random walk,
                 the fitness of the best individuals was far from the
                 optimum. We discuss the shortcomings of our initial
                 algorithm design and the possible directions for
                 further research.",
  keywords =     "genetic algorithms, genetic programming",
  notes =        "Winner 2010 HUMIES GECCO 2010

                 CEC 2009 - A joint meeting of the IEEE, the EPS and the
                 IET. IEEE Catalog Number: CFP09ICE-CDR",

Genetic Programming entries for Pawel Widera Jonathan M Garibaldi Natalio Krasnogor