Global optimization of proteins using a dynamical lattice model: Ground states and energy landscapes

نویسندگان

  • F. Dressel
  • S. Kobe
چکیده

A simple approach is proposed to investigate the protein structure. Using a low complexity model, a simple pairwise interaction and the concept of global optimization, we are able to calculate ground states of proteins, which are in agreement with experimental data. All possible model structures of small proteins are available below a certain energy threshold. The exact low­ energy landscapes for the trp cage protein (1L2Y) is presented showing the connectivity of all states and energy barriers. The most challenging problem in quan­ titative biology today would be the resp­ onse to the question, just how the spati­ al structure of a protein is encoded in its sequence of amino acids. The huge number of degrees of freedom per ami­ no acid with respect to its spatial struc­ ture is reflected in the high computatio­ nal complexity in continuous space protein models. Their variants with space discretization are called high coordination lattice models [1]. Alterna­ tively, simple lattice models are widely investigated, based on the assumption that the positions of amino acids are re­ presented by vertices of a regular lattice (see e.g. [2]). In these cases, there are only z­1 possibilities for the position of the next amino acid in a chain, where the coordination number z is 4 for the square lattice and varies between 6 and 12 for the standard 3d lattices. Using simple lattice models, one may study the qualititative behaviour of protein folding and dynamics. However, these models restrict the finding of the real three­dimensional structure because of rigidity in the underlying crystalline (predefined) lattice. We propose a dyna­ mical lattice model (DLM), which belongs to another class of low­coordi­ nation number models: the so­called re­ duced (ϕ−ψ) or (α­τ) models. Its intro­ duction is motivated by the request to combine low computational complexity with the possibility of an adequate de­ scription of the spatial structure. Other investigations on the basis of such redu­ ced discrete state models are done by Park and Levitt [3] without considerati­

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Structure optimization in an off-lattice protein model

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 prunedenriched-Rosenbluth method (PERM), hitherto employed to native state searches only for off lattice models. For 2 dimensions we found states with lower energy than previously proposed putative ground states, for al...

متن کامل

Modelling sequential protein folding under kinetic control

MOTIVATION This study presents a novel investigation of the effect of kinetic control on cotranslational protein folding. We demonstrate the effect using simple HP lattice models and show that the cotranslational folding of proteins under kinetic control has a significant impact on the final conformation. Differences arise if nature is not capable of pushing a partially folded protein back over...

متن کامل

A dedicated algorithm for calculating ground states for the triangular random bond Ising model

Triggered by the exchange of ideas between computer science and theoretical physics, several disordered systems with complex energy landscapes can now be analyzed numerically exact through computer simulations [1] by using fast combinatorial optimization algorithms. E.g., the ground state problem for the planar 2d random bond Ising model (RBIM) can be mapped to an auxiliary minimum-weight perfe...

متن کامل

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

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 ...

متن کامل

Structure optimization and folding mechanisms of off-lattice protein models using statistical temperature molecular dynamics simulation: Statistical temperature annealing.

The recently proposed statistical temperature molecular dynamics (STMD) algorithm [Kim, Phys. Rev. Lett. 97, 050601 (2006)] is used as the core of an optimization algorithm, statistical temperature annealing (STA), for finding low-lying energy minima of complex potential energy landscapes. Since STMD realizes a random walk in energy, the idea is simply to initiate repeated minimizations from co...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004