Inverse Protein Folding on 2D Off-Lattice Model: Initial Results and Perspectives

Inverse protein folding or protein design stands for searching a particular amino acids sequence whose native structure or folding matches a pre specified target. The problem of finding the corresponding folded structure of a particular sequence is, per se, a hard computational problem. We use a genetic algorithm for searching the space of potential sequences, and the fitness of each individual is measured with the output of a second GA performing a minimization process in the space of structures. Using an off-lattice protein-like 2D model, we show how the implemented techniques are able to obtain a variety of sequences attaining the target structures proposed.

[1]  K. Dill,et al.  Theory for protein mutability and biogenesis. , 1990, Proceedings of the National Academy of Sciences of the United States of America.

[2]  R Unger,et al.  Genetic algorithms for protein folding simulations. , 1992, Journal of molecular biology.

[3]  A. Lehninger Principles of Biochemistry , 1984 .

[4]  Niles A Pierce,et al.  Protein design is NP-hard. , 2002, Protein engineering.

[5]  Ján Manuch,et al.  Structure-Approximating Inverse Protein Folding Problem in the 2D HP Model , 2005, J. Comput. Biol..

[6]  David T. Jones,et al.  De novo protein design using pairwise potentials and a genetic algorithm , 1994, Protein science : a publication of the Protein Society.

[7]  Aviezri S. Fraenkel,et al.  Complexity of protein folding , 1993 .

[8]  John Moult,et al.  A decade of CASP: progress, bottlenecks and prognosis in protein structure prediction. , 2005, Current opinion in structural biology.

[9]  A Caflisch,et al.  An evolutionary approach for structure-based design of natural and non-natural peptidic ligands. , 2001, Combinatorial chemistry & high throughput screening.

[10]  Thomas Bäck,et al.  Evolutionary Algorithms in Drug Design , 2005, Natural Computing.

[11]  Piotr Berman,et al.  The inverse protein folding problem on 2D and 3D lattices , 2007, Discret. Appl. Math..

[12]  Bernd Hartke,et al.  Towards protein folding with evolutionary techniques , 2005, J. Comput. Chem..

[13]  C. Anfinsen Principles that govern the folding of protein chains. , 1973, Science.

[14]  Daniel Manrique,et al.  Optimisation With Real-Coded Genetic Algorithms Based On Mathematical Morphology , 2003, Int. J. Comput. Math..

[15]  Ron Unger The Genetic Algorithm Approach to Protein Structure Prediction , 2004 .

[16]  R. Unger,et al.  Finding the lowest free energy conformation of a protein is an NP-hard problem: proof and implications. , 1993, Bulletin of mathematical biology.

[17]  William E. Hart,et al.  Protein structure prediction with evolutionary algorithms , 1999 .

[18]  T M Handel,et al.  Review: protein design--where we were, where we are, where we're going. , 2001, Journal of structural biology.