121 research outputs found
Basins of attraction for cascading maps
We study a finite uni-directional array of "cascading" or "threshold coupled"
chaotic maps. Such systems have been proposed for use in nonlinear computing
and have been applied to classification problems in bioinformatics. We describe
some of the attractors for such systems and prove general results about their
basins of attraction. In particular, we show that the basins of attraction have
infinitely many path components. We show that these components always
accumulate at the corners of the domain of the system. For all threshold
parameters above a certain value, we show that they accumulate at a Cantor set
in the interior of the domain. For certain ranges of the threshold, we prove
that the system has many attractors.Comment: 15 pages, 9 figures. To appear in International Journal of
Bifurcations and Chao
Characteristic Temperatures of Folding of a Small Peptide
We perform a generalized-ensemble simulation of a small peptide taking the
interactions among all atoms into account. From this simulation we obtain
thermodynamic quantities over a wide range of temperatures. In particular, we
show that the folding of a small peptide is a multi-stage process associated
with two characteristic temperatures, the collapse temperature T_{\theta} and
the folding temperature T_f. Our results give supporting evidence for the
energy landscape picture and funnel concept. These ideas were previously
developed in the context of studies of simplified protein models, and here for
the first time checked in an all-atom Monte Carlo simulation.Comment: Latex, 6 Figure
Three-body Interactions Improve the Prediction of Rate and Mechanism in Protein Folding Models
Here we study the effects of many-body interactions on rate and mechanism in
protein folding, using the results of molecular dynamics simulations on
numerous coarse-grained C-alpha-model single-domain proteins. After adding
three-body interactions explicitly as a perturbation to a Go-like Hamiltonian
with native pair-wise interactions only, we have found 1) a significantly
increased correlation with experimental phi-values and folding rates, 2) a
stronger correlation of folding rate with contact order, matching the
experimental range in rates when the fraction of three-body energy in the
native state is ~ 20%, and 3) a considerably larger amount of 3-body energy
present in Chymotripsin inhibitor than other proteins studied.Comment: 9 pages, 2 tables and 5 figure
Non-Markovian Configurational Diffusion and Reaction Coordinates for Protein Folding
The non-Markovian nature of polymer motions is accounted for in folding
kinetics, using frequency-dependent friction. Folding, like many other problems
in the physics of disordered systems, involves barrier crossing on a correlated
energy landscape. A variational transition state theory (VTST) that reduces to
the usual Bryngelson-Wolynes Kramers approach when the non-Markovian aspects
are neglected is used to obtain the rate, without making any assumptions
regarding the size of the barrier, or the memory time of the friction. The
transformation to collective variables dependent on the dynamics of the system
allows the theory to address the controversial issue of what are ``good''
reaction coordinates for folding.Comment: 9 pages RevTeX, 3 eps-figures included, submitted to PR
Molecular dynamics simulation of polymer helix formation using rigid-link methods
Molecular dynamics simulations are used to study structure formation in
simple model polymer chains that are subject to excluded volume and torsional
interactions. The changing conformations exhibited by chains of different
lengths under gradual cooling are followed until each reaches a state from
which no further change is possible. The interactions are chosen so that the
true ground state is a helix, and a high proportion of simulation runs succeed
in reaching this state; the fraction that manage to form defect-free helices is
a function of both chain length and cooling rate. In order to demonstrate
behavior analogous to the formation of protein tertiary structure, additional
attractive interactions are introduced into the model, leading to the
appearance of aligned, antiparallel helix pairs. The simulations employ a
computational approach that deals directly with the internal coordinates in a
recursive manner; this representation is able to maintain constant bond lengths
and angles without the necessity of treating them as an algebraic constraint
problem supplementary to the equations of motion.Comment: 15 pages, 14 figure
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