.. menger_curvature documentation master file, created by sphinx-quickstart on Thu Mar 15 13:55:56 2018. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. Menger_Curvature Documentation ============================== Menger_Curvature is a Python package that calculates the Menger curvature of polymeric backbones along molecular trajectories, particularly useful for analyzing protein backbone conformations. Scientific Background --------------------- The Menger curvature is a geometric measure that characterizes how much a curve passing through 3 points deviates from being straight. For a triplet of points, it is calculated as the reciprocal of the radius of the circumscribed circle passing through these points. In protein analysis, this metric provides: Local geometric information about backbone conformation Insights into structural flexibility when analyzed across trajectories Quantitative measures for comparing different protein regions of the backbone Computational Approach ---------------------- The package implements: JIT-accelerated calculations using Numba for performance Parallel computation support for large trajectories Integration with MDAnalysis for efficient trajectory handling Memory-efficient array operations with NumPy Installation ------------ Quick installation using pip: .. code-block:: bash pip install menger-curvature For development installation: .. code-block:: bash git clone https://github.com/EtienneReboul/menger_curvature.git cd menger_curvature pip install -e . Basic Usage ----------- Calculate Menger curvature for a protein trajectory: .. code-block:: python import MDAnalysis as mda from menger.analysis.mengercurvature import MengerCurvature from menger.data import files # replace by your own filepaths topology = files.TUBULIN_CHAIN_A_PDB trajectory = files.TUBULIN_CHAIN_A_DCD u = mda.Universe(topology, trajectory) # run analysis in serial mode menger_analyser = MengerCurvature( u, select="name CA and chainID A", spacing=2 ) menger_analyser.run() # retrieve results data average_curvature = menger_analyser.results.local_curvatures flexibility = menger_analyser.results.local_flexibilities menger_curvature = menger_analyser.results.curvature_array Contents -------- .. toctree:: :maxdepth: 2 :caption: Contents: getting_started api Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search`