Wiki source code of Distance-Fluctuations
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5 | = Distance Fluctuation (DF) Analysis = | ||
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7 | Giorgio Colombo Group (UNIPV) | ||
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15 | = What DF matrices are? = | ||
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17 | The analysis of the results of a MD simulation can performed using the Distance Fluctuation matrices (DF), based on the Coordination Propensity hypothesis: | ||
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20 | [[image:CodeCogsEqn-58.png||height="34" width="181"]] | ||
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22 | low CP values, corresponding to low pair-distance fluctuations, highlight groups of residues that move in a mechanically coordinated way. | ||
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25 | = How to use the script = | ||
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27 | • __Requisites__ | ||
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29 | - Python 3.0 (or newer version) | ||
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31 | - Numpy | ||
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33 | - Scipy | ||
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36 | • __Usage__ | ||
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38 | The script can analyze a MD trajectory and identify the coordinated motions between residues. It can then filter the output matrix based on the distance to identify long-range coordinated motions. | ||
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40 | The script can work both using only C-alphas (using either a pdb or a xyz file) or the sidechains (using a pdb file). | ||
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42 | For more information run: | ||
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44 | {{{ python3 distance_fluctuation.py -h}}} | ||
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50 | {{box title="**Contents**"}} | ||
51 | {{toc/}} | ||
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