Next: List of Tables
Up: Dynamic and Stochastic Protein
Previous: Contents
- The peptide Met-enkephalin is shown, with the bonds/hinges numbered.
Clusters are the chemical units connected by the hinges, such
as the phenyl ring in tyrosine 1. The hinges are numbered to
allow for analysis of the dihedral angles.
- Energy fluctuations,
, for NEIMO(N) and Cartesian(C) dynamics
simulations of Met-enkephalin. Simulations were run for 1 ps using timesteps
ranging from 1 to 20 fs. N* and C* are the
scaled fluctuations,
*, where
is divided by the
number of degrees of freedom:
for NEIMO simulations and
3n-6 for Cartesian coordinates.
- Energy fluctuations,
, for NEIMO(N) and Cartesian(C) dynamics
simulations of (Ala)
. Simulations were run for 1 ps using timesteps
ranging from 1 to 35 fs. N* and C* are the scaled energy fluctuations,
*.
for 100 timesteps of NEIMO dynamics on (Ala)
.
- Avian pancreatic polypeptide (aPP), with the sidechain atoms
removed for clarity. From the crystal structure 1PPT [38]).
- Energy fluctuations,
, for NEIMO(N) and
Cartesian(C) dynamics simulations of avian pancreatic polypeptide
(aPP). Simulations were run for 1 ps using timesteps ranging from 1
to 15 fs, but all those above 11 fs caused the energy to blow up. N*
and C* are the scaled energy fluctuations,
*.
- Scaled energy fluctuations,
*, for 1 ps NEIMO
simulations of aPP. ``Rigid H'' differs from ``Normal'' NEIMO in that
hinges which rotate only hydrogen atoms are held fixed. The
``Counterions'' simulation used the standard NEIMO method for
the protein, but concurrently solved the Cartesian equations of motion
for counterions (5 Na
and 3 Cl
) added to neutralize unpaired
charges.
- The average energy fluctuations,
, during 5 ps
simulations of avian pancreatic polypeptide. Fluctuations in NEIMO(N)
and Cartesian(C) dynamics were determined at 0.1 ps intervals during
the course of the simulation, after which velocities could be rescaled
and the CMM nonbond farfield calculation was updated.
vs. protein size for Cartesian dynamics at 1fs
and NEIMO dynamics at various timesteps.
- During 5 ps molecular dynamics simulations of
Met-enkephalin, the 22 dihedral angles were written out at 0.1 ps
intervals. The fifty values for each dihedral are plotted here for
Cartesian and NEIMO dynamics simulations using 1 fs timesteps.
- The average dihedrals from the distributions in
are shown here with error bars indicating
, the standard deviations.
- The average dihedrals from NEIMO simulations using timesteps
ranging from 1 to 10 fs.
- The overlaps
between 1 fs and 2-10 fs NEIMO
simulations of Met-enkephalin.
- The overlaps
between 1 fs and 2, 5, and 10 fs NEIMO
simulations of Met-enkephalin shown at higher resolution than
.
- The overlaps
between dihedral distributions from
Cartesian dynamics vs. those from NEIMO dynamics simulations with
timesteps ranging from 1 fs.
- The tomato bushy stunt virus asymmetric unit, showing the
A, B, and C conformations as well as the associated Ca
ions.
From the crystal structure by Olson et al.b3.2tbv.
- Detail of the aspartic acid/Ca
interactions at the contact
site between the S domains of two coat proteins.
- The TBSV protein coat, with each P and S domain represented
by a sphere.
- A second view of the TBSV coat, with the outer P domains
removed to emphasize the symmetry of the virus.
- CPU times for CMM calculations, NEIMO acceleration
calculations, and overhead, including coordinate updating for NEIMO.
* during 1.0 ps NEIMO simulations.
- The radius of gyration during energy minimization.
- The potential energy of the TBSV triad, including
CMM nonbonded interactions with the full viral coat, during energy
minimization.
- The TBSV radius during 2.0 ps Cartesian and NEIMO dynamics
simulations.
- The radius of the PH7 and NOCA models of TBSV during 4.0 ps
of Cartesian (NVT) and NEIMO dynamics.
- Potential energy during the 3.0 ps Cartesian
canonical dynamics simulations.
- The backbone (
,
, and
) and sidechain (
)
dihedrals of arginine. The two outermost sidechain dihedrals,
and
rotate hydrogens, only, so they are not varied in the Probability
Grid Monte Carlo method.
- 30
grids for the three standard residue types.
grids for standard (non-Proline, non-Glycine) residues at grid
spacings of 10, 15, 30, and 60
.
grids of different structural types for standard
(non-Proline, non-Glycine) residues in the SS58 dataset.
grids for sidechains with one PGMC dihedral.
grids for sidechains with two significant dihedrals.
- Results from several Monte Carlo simulations of Met-enkephalin.
The simulations were identical except for the temperature used.
The starting structure of each simulation was the 15
peak conformation
and 15
and
grids were used for conformational sampling.
At 100 step intervals, the energy of the current conformation and the best
overall conformation were recorded. The two graphs plot the current(a) and
best energy(b) vs. Monte Carlo step.
- The best energy from 40 simulations of Met-enkephalin using
15
grid spacing at 1000 K. 20 simulations began with conformations
generated at random (R) and 20 began with the peak 15
conformation, 15
, (I).
- PGMC simulations were run at temperatures of 0 K, 300 K, 600 K, 1000 K
and 5000 K, for each grid spacing (5
, 10
, 15
, 30
, and 60
).
For each spacing/temperature pair, ten simulations of 10,000 steps each were
run. Here, the overall acceptance rate for the ten runs is shown for each
spacing/temperature combination.
- For each of 25 temperature/grid spacing combinations, ten 10,000-step
simulations were run and the minimum energy from each run was recorded. The
plots show both the overall lowest energy for the ten runs (a) and the
average minimum energy (b) for the ten runs.
- 20 simulations of 50,000 steps each were run at 300 K using grid
spacings of 5
and 10
. The best conformation from each run
was energy minimized and the energy before and after minimization was
recorded. The top two lines plot the unminimized energies while the bottom
two, labeled ``(min)'', show the minimized energies.
- The peptide Met-enkephalin, with the dihedrals numbered as in
.
- The dihedral angles from each of the 20 minima produced by
50,000-step simulations at 300 K. Only the dihedrals unsampled by the
PGMC method,
(dihedral 4) and the
's (6, 9, 12, and 17)
are the same in every conformation. Even these degeneracies are broken
during minimization.
- The top plot shows the distribution of dihedral angles for the eight
conformations with energies within 1 kcal/mol of LS
, the conformation with
the lowest known energy . The bottom plot shows the same distribution minus
the one conformation which differs significantly from the others at
dihedrals 16, 18, and 19. The other seven conformations
have virtually identical conformations for residues Phe 4 and Met 5.
- Three views of crambin: the C
's (46 atoms), the peptide
backbone (185 atoms), and the all-atom structure (402 atoms). From
the crystal structure by Hendrickson and Teeter[77].
- Definition of virtual angle,
, and dihedral,
,
for residue
.
- The average rms deviation from the crystal structure for
models of the crambin backbone built using various temperatures and
pulse sizes.
- The average rms deviation in backbone atoms (RMSB) and C
coordinates (RMSC) for crambin backbone models built using different
C
constraint force constants.
- Average backbone rms vs. the number of Monte Carlo steps.
Also shown is the average time to build each backbone conformation.
- Average all-atom rms deviations for sidechain Monte Carlo
simulations of crambin at different temperatures.
- Backbone rms per residue for crambin model.
- The deviation in
for each residue of the crambin model.
- The peptide backbone of the model and
crystal structures of crambin. The rms deviation is 0.538 Å.
- A comparison of helix 2 (residues 23 to 30) in the model
and crystal structures. The rms deviation is 1.026 Å for all atoms
and 0.394 Å for the backbone atoms.
- Helix 1 (residues 7 to 19) in the
model and crystal structures. The rms deviation is 1.658 Å for all
atoms and 0.209 Å for the backbone atoms.
- The Hierarchical Protein Folding Strategy, which converts
lattice C
coordinates into all-atom protein conformations.
- The probability distribution (0.01 Å resolution) for C
-C
bonds. The actual distribution is compared to that derived from the
bond-stretch term of the C
FF.
- 2000 virtual angle, dihedral (
) values.
- The
probability grids for the entire H64 dataset, using
15
bins.
- The
probability grids for HELIX and SHEET residues in
the H64 dataset.
- A schematic diagram of an IgG molecule.
- The six hypervariable loops of the immunoglobulins
HyHEL-5[114] and McPC603[115], shown
as C
coordinates only.
- C
traces of the predicted and actual loop conformations
of HyHEL-5.
- C
traces of the predicted and actual loop conformations
of McPC603.
- Backbone conformations of the predicted (yellow) and actual
(red) loop conformations in HyHEL-5.
- Backbone conformations of the predicted (yellow) and actual
(red) loop conformations in McPC603.