%0 Book Section %1 statphys23_0189 %A Behringer, H. %A Degenhard, A. %A Schmid, F. %B Abstract Book of the XXIII IUPAP International Conference on Statistical Physics %C Genova, Italy %D 2007 %E Pietronero, Luciano %E Loreto, Vittorio %E Zapperi, Stefano %K biophysics coarse-graining molecular recognition statphys23 topic-10 %T Coarse-grained lattice model for molecular recognition %U http://st23.statphys23.org/webservices/abstract/preview_pop.php?ID_PAPER=189 %X Equilibrium aspects of molecular recognition are investigated using coarse-grained models for the recognition process of two rigid biomolecules. To this end, a two-stage approach is adopted. First, the structure of the target molecule is fixed and learned by a probe molecule resulting in an ensemble of probe sequences. In a second step the recognition ability of the designed probe ensemble with respect to the chosen target sequence is tested by comparing the free energy of association with the previously fixed target structure and a different competing structure. Particular attention is paid to the influence of cooperative effects accompanying the association of the target biomolecule and the probe molecules. Cooperativity is found to enhance selectivity. In addition it is discussed how correlated hydrophobicity distributions affect the recognition ability.

@incollection{statphys23_0189, abstract = {Equilibrium aspects of molecular recognition are investigated using coarse-grained models for the recognition process of two rigid biomolecules. To this end, a two-stage approach is adopted. First, the structure of the target molecule is fixed and learned by a probe molecule resulting in an ensemble of probe sequences. In a second step the recognition ability of the designed probe ensemble with respect to the chosen target sequence is tested by comparing the free energy of association with the previously fixed target structure and a different competing structure. Particular attention is paid to the influence of cooperative effects accompanying the association of the target biomolecule and the probe molecules. Cooperativity is found to enhance selectivity. In addition it is discussed how correlated hydrophobicity distributions affect the recognition ability.}, added-at = {2007-06-20T10:16:09.000+0200}, address = {Genova, Italy}, author = {Behringer, H. and Degenhard, A. and Schmid, F.}, biburl = {https://www.bibsonomy.org/bibtex/223a726db1ea8a90a632b2fba39cf24b8/statphys23}, booktitle = {Abstract Book of the XXIII IUPAP International Conference on Statistical Physics}, editor = {Pietronero, Luciano and Loreto, Vittorio and Zapperi, Stefano}, interhash = {7083a5e4fca90a5cebf4ee3882f533b2}, intrahash = {23a726db1ea8a90a632b2fba39cf24b8}, keywords = {biophysics coarse-graining molecular recognition statphys23 topic-10}, month = {9-13 July}, timestamp = {2007-06-20T10:16:13.000+0200}, title = {Coarse-grained lattice model for molecular recognition}, url = {http://st23.statphys23.org/webservices/abstract/preview_pop.php?ID_PAPER=189}, year = 2007 }