TY - DATA T1 - Native and non-native structures used to generate Protein Structure Networks PY - 2014/01/21 AU - Soma Ghosh AU - Saraswathi Vishveshwara UR - https://f1000.figshare.com/articles/dataset/Native_and_non_native_structures_used_to_generate_Protein_Structure_Networks/902838 DO - 10.6084/m9.figshare.902838.v1 L4 - https://ndownloader.figshare.com/files/1349763 L4 - https://ndownloader.figshare.com/files/1350852 L4 - https://ndownloader.figshare.com/files/1349765 L4 - https://ndownloader.figshare.com/files/1349766 KW - protein structure KW - quality KW - networks KW - rank KW - support vector machines KW - Bioinformatics N2 - Dataset 1: List of 5422 native protein structuresThe positive dataset (PSN-QA_positive) used in this study consisted of 5422 native protein structures, that were downloaded using PISCES. Three letter codes of the PDBs are provided. Dataset 2: Details of the decoy dataset.The negative dataset (PSN-QA_negative) used in this study were obtained from various publicly available resources. Dataset 3: Data used to generate Figure 1 in the associated article. This file contains the value of SLClu (size of the largest cluster) for example protein structures at different Imin values (interaction strength cutoffs). Dataset 4: Data used to generate Figure 2 in the associated article. The file contains the rank values obtained by the native and the decoy datasets. Please note that we have not kept a track of the correspondence between the Id and PDB Ids.   ER -