From HP Lattice Models to Real Proteins: Coordination Number Prediction Using Learning Classifier Systems

Author:

Stout Michael,Bacardit Jaume,Hirst Jonathan D.,Krasnogor Natalio,Blazewicz Jacek

Publisher

Springer Berlin Heidelberg

Reference31 articles.

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2. Hart, W.E., Istrail, S.: Crystallographical universal approximability: A complexity theory of protein folding algorithms on crystal lattices. Technical Report SAND95- 1294, Sandia National Labs, Albuquerque, NM (1995)

3. Hinds, D., Levitt, M.: A lattice model for protein structure prediction at low resolution. Proceedings National Academy of Science U.S.A. 89, 2536–2540 (1992)

4. Hart, W., Istrail, S.: Robust proofs of NP-hardness for protein folding: General lattices and energy potentials. Journal of Computational Biology, 1–20 (1997)

5. Yue, K., Fiebig, K.M., Thomas, P.D., Sun, C.H., Shakhnovich, E.I., Dill, K.A.: A test of lattice protein folding algorithms. Proc. Natl. Acad. Sci. USA 92, 325–329 (1995)

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