Fitting Atomic Structures

In the following we will use template matching to recover the correct orientation of an atomic structure in a density map.

To demonstrate the procedure, we will use EMD-0244 and the associated fitted structure 6HMS. You can download both from EMDB or from the command line

wget https://ftp.ebi.ac.uk/pub/databases/emdb/structures/EMD-0244/map/emd_0244.map.gz
wget https://files.rcsb.org/download/6HMS.pdb

Since 6HMS is already in the correct orientation, we will first simulate a translation and rotation of the structure

from tme import Structure
from tme.matching_utils import get_rotation_matrices

rotation_matrix = get_rotation_matrices(40)[32]

structure = Structure.from_file("6HMS.pdb")
structure_mod = structure.rigid_transform(
    rotation_matrix = rotation_matrix,
    translation = (-15, 10, 0)
)
structure_mod.to_file("6HMS_mod.pdb")

The following will fit the newly created structure 6HMS_mod.pdb into the original density map to recover the correct orientation

match_template.py \
    -m emd_0244.map.gz \
    -i 6HMS_mod.pdb \
    -n 4 \
    -a 40 \
    -o output.pickle

We can also apply various filters to the atomic structure, such as a lowpass filter to 30 Ångstrom

match_template.py \
    -m emd_0244.map.gz \
    -i 6HMS_mod.pdb \
    -n 4 \
    -a 40 \
    --lowpass 30 \
    -o output_mod.pickle

The orientation with highest score, which in our case is the initial correct orientation, can be obtained from the created pickle files like so

postprocess.py \
    --input_file output.pickle \
    --number_of_peaks 1 \
    --output_format alignment \
    --output_prefix 6HMS_fit

The postprocessing tool offers a range of additional features to enable subvoxel precision such as peak oversampling via --peak_oversampling and local optimization via the --local_optimization flag. The output of fitting is shown below. The left side shows the map and 6HMS_mod.pdb, the right side the output of pytme.