<jupyter_start><jupyter_text>Align<jupyter_code>%load_ext autoreload
%autoreload 2
import molsysmt as msm
molsys_1 = msm.convert('pdb_id:181l', to_form='molsysmt.MolSys',
                       selection='molecule_type=="protein"')
molsys_2 = msm.convert('pdb_id:1l17', to_form='molsysmt.MolSys',
                       selection='molecule_type=="protein"')
molsys_2on1 = msm.structure.align(molsys_2, reference_molecular_system=molsys_1)
msm.view([molsys_1, molsys_2on1])<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.1294820717131474, 'fraction_numerical': 0.03187250996015936, 'mean_word_length': 5.532467532467533, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '63984', 'license': 'MIT', 'n_tokens_mistral': 210, 'n_tokens_neox': 204, 'n_words': 21, 'path': 'docs/contents/structure/align.ipynb', 'repo_name': 'dprada/molsysmt', 'size': '502'}