%0 Generic %A Ghosh, Soma %A Vishveshwara, Saraswathi %D 2014 %T Native and non-native structures used to generate Protein Structure Networks %U https://f1000.figshare.com/articles/dataset/Native_and_non_native_structures_used_to_generate_Protein_Structure_Networks/902838 %R 10.6084/m9.figshare.902838.v1 %2 https://f1000.figshare.com/ndownloader/files/1349763 %2 https://f1000.figshare.com/ndownloader/files/1350852 %2 https://f1000.figshare.com/ndownloader/files/1349765 %2 https://f1000.figshare.com/ndownloader/files/1349766 %K protein structure %K quality %K networks %K rank %K support vector machines %K Bioinformatics %X

Dataset 1: List of 5422 native protein structures
The 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.

 

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