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2 results for “Divide-and-Conquer”
Divide-and-conquer approach to study protein tunnels in long molecular dynamics simulations
<p># *"Divide-and-conquer approach to study protein tunnels in long molecular dynamics simulations"*</p> <p>The input files and data used for the paper *"Divide-and-conquer approach to study protein tunnels in long molecular dynamics simulations"* are separated in the different folders depending stage they belong to.</p> <p>## Folders</p> <p> 1. **01_inputs:** The MD trajectory of DhaA used (only protein atoms present)<br> 2. **02_sliced_trajectory:** The CAVER3 results for the sliced trajectory (eight parts)<br> 3. **03_sliced_filtered:** Filtered CAVER3 results and results from the divide-and-conquer approach<br> 4. **04_full_trajectory:** The CAVER3 results for the full trajectory analysis<br> 5. **05_guided_example:** Guided example for the divide-and-conquer approach<br> </p>
Plots Scripts and Associated Data Sets for: "A Divide-and-Conquer Algorithm for Disordered and Interacting Few-Particle Systems in One Dimension"
<p>The dataset includes data and Python scripts for all figures in the corresponding preprint/article.</p>
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