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Structural Bioinformatics Library
Template C++ / Python API for developping structural bioinformatics applications.
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Static Public Attributes | |
string | path1 = './lrmsd_matrices/' |
Step 1 : write rmsd distance matrix per subdomain per state in a folder. More... | |
string | path2 = './lrmsd_stat/' |
Step 2 : write lrmsd statistics (lrmsd average, median, std, min and max) intra- and inter-state. More... | |
writer_3_options = Cradle_utils_label_selection_options(self.m_options.m_idir, self.m_options.m_pdbfiles, self.m_options.m_pdb_info, self.m_options.m_state_map_file, self.m_options.m_spec_files) | |
Step 3 : compute mean displacement per subdomain from bfactor. More... | |
selector_1 = Subdomain_Selector_1(path2) | |
Step 4 : write summary table comparing mean displacement to lrmsd per subdomain intra and inter-state. More... | |
Selection of subdomains which are dynamic, see paper The selection of dynamic subdomains hinges on 4 steps 1) Compute RMSDcomb for specifed subdomains 2) write statistics of RMSDcomb per subdomain intra- and inter-states 3) compute mean displacement per subdomain 4) Write table comparing mean displacement to lrmsd per subdomain intra- and inter-states.
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static |
Step 1 : write rmsd distance matrix per subdomain per state in a folder.
|
static |
Step 2 : write lrmsd statistics (lrmsd average, median, std, min and max) intra- and inter-state.
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static |
Step 4 : write summary table comparing mean displacement to lrmsd per subdomain intra and inter-state.
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static |
Step 3 : compute mean displacement per subdomain from bfactor.