A Quasi-physical Algorithm for the Structure Optimization in an Off-lattice Protein Model

نویسندگان

  • Jing-Fa Liu
  • Wen-Qi Huang
چکیده

We study an off-lattice protein toy model with two species of monomers interacting through modified Lennard-Jones interactions. Low energy configurations are optimized using the pruned-enriched-Rosenbluth method (PERM), hitherto employed to native state searches only for off-lattice models. For two dimensions we found states with lower energy than previously proposed putative ground states for all chain lengths >/=13. This indicates that PERM has the potential to produce native states also for more realistic protein models. For d=3, where no published ground states exist, we present some putative lowest energy states for future comparison with other methods.

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عنوان ژورنال:

دوره 4  شماره 

صفحات  -

تاریخ انتشار 2003