Automatic classification of protein structures using low-dimensional structure space mappings
Automatic classification of protein structures using low-dimensional structure space mappings is a scholarly work by Daniel Asarnow, published in 2014 in ''BMC Bioinformatics''. The main subjects of the publication include protein structure prediction, set, data mining, structural bioinformatics, protein structure, protein structure database, Protein Data Bank, adjacency list, biological function, computer science, similarity, Structural Classification Of Proteins, computational biology, space, automation, Structural genomics, and Protein Data Bank. The authors demonstrate that MPSS constitute highly accurate representations of protein fold space and enable automatic classification of SCOP Superfamily and Fold-level relationships.