IMP Reference Guide
2.22.0
The Integrative Modeling Platform
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Here is an example describing the use of NestOR to compare six different coarse-grained representations of the Nucleosome Deacetylase (NuDe) sub-complex of the Nucleosome Remodeling and Deacetylase (NuRD) complex. The input
and nude_modeling.py
are adapted from the Integrative model of the NuRD subcomplexes repository.
NOTE: Prior to running the example, please download EM map from EMD22094, extract it, rename it as emd_22904.mrc
and place it in input/gmm/
directory
The examples/input
comprises of the fasta sequences (examples/input/fasta
), PDB structures (examples/input/pdb
), crosslinking mass spectrometry data (examples/input/xlms
) and an EM map along with the corresponding GMM representation (examples/input/gmm
). Each target crosslink file from examples/input/xlms/original_xl_data
is split into sampling_
and evicalc_
files as described in the main module README
.
In addition it also comprises the topology{x}.txt
files that define the representation to be used for running the nude_modeling.py
modeling script. The {x}
in the topology file's name corresponds to the number of amino acid residues to be coarse-grained to a single flexible bead for regions that lack a previously characterized structure. In this example, we are comparing the 1, 5, 10, 20, 30 and 50 residues per bead coarse-grained representations of the regions with unknown structure of NuDe sub-complex. It is to be noted that the regions with known structure will be modeled as 1 and 10 residues per bead representation. Importantly, note that any representation can be compared as long there is a valid modeling file associated with it (representation can be mentioned via a topology file or manually).
It also contains the examples/input/nestor_params_optrep.yaml
NestOR parameter file which defines the NestOR parameters. Each parameter is described in the file itself.
The nude_modeling.py
script is also adapted from the Integrative model of the NuRD subcomplexes repository for use with NestOR.
The nestor_output.yaml
contains an example output for the given setup. In addition to this file, NestOR also saves a model from each iteration. These models are not included here due to space constraints. It also generates plots visualizing the log(evidence) (mean and standard error on the mean) (examples/trial_optrep_params_evidence_errorbarplot.png
), MCMC per step sampling time (examples/trial_optrep_params_persteptime.png
), NestOR total process time (examples/trial_optrep_params_proctime.png
) and per step MCMC sampling time and log(evidence) together for all candidate representations (examples/sterr_evi_and_proctime.png
).
See the main README.md
for how to run this example.