1,941 research outputs found
How native state topology affects the folding of Dihydrofolate Reductase and Interleukin-1beta
The overall structure of the transition state and intermediate ensembles
experimentally observed for Dihydrofolate Reductase and Interleukin-1beta can
be obtained utilizing simplified models which have almost no energetic
frustration. The predictive power of these models suggest that, even for these
very large proteins with completely different folding mechanisms and functions,
real protein sequences are sufficiently well designed and much of the
structural heterogeneity observed in the intermediates and the transition state
ensembles is determined by topological effects.Comment: Proc. Natl. Acad. Sci. USA, in press (11 pages, 4 color PS figures)
Higher resolution PS files can be found at
http://www-physics.ucsd.edu/~cecilia/pub_list.htm
Funnels in Energy Landscapes
Local minima and the saddle points separating them in the energy landscape
are known to dominate the dynamics of biopolymer folding. Here we introduce a
notion of a "folding funnel" that is concisely defined in terms of energy
minima and saddle points, while at the same time conforming to a notion of a
"folding funnel" as it is discussed in the protein folding literature.Comment: 6 pages, 3 figures, submitted to European Conference on Complex
Systems 200
Folding Kinetics of Protein Like Heteropolymers
Using a simple three-dimensional lattice copolymer model and Monte Carlo
dynamics, we study the collapse and folding of protein-like heteropolymers. The
polymers are 27 monomers long and consist of two monomer types. Although these
chains are too long for exhaustive enumeration of all conformations, it is
possible to enumerate all the maximally compact conformations, which are 3x3x3
cubes. This allows us to select sequences that have a unique global minimum. We
then explore the kinetics of collapse and folding and examine what features
determine the various rates. The folding time has a plateau over a broad range
of temperatures and diverges at both high and low temperatures. The folding
time depends on sequence and is related to the amount of energetic frustration
in the native state. The collapse times of the chains are sequence independent
and are a few orders of magnitude faster than the folding times, indicating a
two-phase folding process. Below a certain temperature the chains exhibit
glass-like behavior, characterized by a slowing down of time scales and loss of
self-averaging behavior. We explicitly define the glass transition temperature
(Tg), and by comparing it to the folding temperature (Tf), we find two classes
of sequences: good folders with Tf > Tg and non-folders with Tf < Tg.Comment: 23 pages (plus 10 figures included in a seperate file) LaTeX, no
local report nu
Kinetic and thermodynamic analysis of proteinlike heteropolymers: Monte Carlo histogram technique
Using Monte Carlo dynamics and the Monte Carlo Histogram Method, the simple
three-dimensional 27 monomer lattice copolymer is examined in depth. The
thermodynamic properties of various sequences are examined contrasting the
behavior of good and poor folding sequences. The good (fast folding) sequences
have sharp well-defined thermodynamic transitions while the slow folding
sequences have broad ones. We find two independent transitions: a collapse
transition to compact states and a folding transition from compact states to
the native state. The collapse transition is second order-like, while folding
is first order. The system is also studied as a function of the energy
parameters. In particular, as the average energetic drive toward compactness is
reduced, the two transitions approach each other. At zero average drive,
collapse and folding occur almost simultaneously; i.e., the chain collapses
directly into the native state. At a specific value of this energy drive the
folding temperature falls below the glass point, indicating that the chain is
now trapped in local minimum. By varying one parameter in this simple model, we
obtain a diverse array of behaviors which may be useful in understanding the
different folding properties of various proteins.Comment: LaTeX, 16 pages, figures in separate uufile. Requires psfig.sty Minor
revision, fixed typo in preprint number (no other changes
Thermodynamics and Kinetics of Folding of a Small Peptide
We study the thermodynamics and kinetics of folding for a small peptide. Our
data rely on Monte Carlo simulations where the interactions among all atoms are
taken into account. Monte Carlo kinetics is used to study folding of the
peptide at suitable temperatures. The results of these canonical simulations
are compared with that of a generalized-ensemble simulation. Our work
demonstrates that concepts of folding which were developed in the past for
minimalist models hold also for this peptide when simulated with an all-atom
force field
Diffusive Dynamics of the Reaction Coordinate for Protein Folding Funnels
The quantitative description of model protein folding kinetics using a
diffusive collective reaction coordinate is examined. Direct folding kinetics,
diffusional coefficients and free energy profiles are determined from Monte
Carlo simulations of a 27-mer, 3 letter code lattice model, which corresponds
roughly to a small helical protein. Analytic folding calculations, using simple
diffusive rate theory, agree extremely well with the full simulation results.
Folding in this system is best seen as a diffusive, funnel-like process.Comment: LaTeX 12 pages, figures include
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