Data Set "Systematic partitioning of proteins for quantum-chemical fragmentation methods using graph algorithms"
Mario Wolter, Moritz von Looz, Henning Meyerhenke, Christoph R. Jacob · Zenodo (CERN European Organization for Nuclear Research) · 2020
Data set accompanying the publication "Systematic partitioning of proteins for quantum-chemical fragmentation methods using graph algorithms" The data set contains: - Input script for PyADF (v0.97) for calculating (a) all two body terms to use as graph weights and (b) fragmentation error for all k and nmax (aspf) - PDB files of proteins and the "regions of interest" (RoI) used in this work. - Raw data: protein graph representations, resulting partitions, data underlying all figures shown in our article. - Jupiter notebook to create all figures shown in the article and in the supporting information from data in the results folder. - Images of protein structures and graph representations of ubiquitin.