The SCOP database, created by manual inspection and abetted by a battery of automated methods, aims to provide a detailed and comprehensive description of the structural and evolutionary relationships between all proteins whose structure is known.

SCOPe (Structural Classification of Proteins — extended) is a database developed at the Berkeley Lab and UC Berkeley to extend the development and maintenance of SCOP. SCOP was conceived at the MRC Laboratory of Molecular Biology, and developed in collaboration with researchers in Berkeley.

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The Structural Classification of Proteins (SCOP) database is a largely manual classification of protein structural domains based on similarities of their structures and amino acid sequences. A motivation for this classification is to determine the evolutionary relationship between proteins.

SCOPe is a database developed at the Berkeley Lab and UC Berkeley that extends SCOP (version 1). SCOPe classifies many structures released since SCOP 1.75 through a combination of automation and manual curation, and corrects some errors, aiming to have the same accuracy as the fully hand-curated SCOP releases.

The SCOP database is built as a classification of non-redundant protein domains. A representative is selected based on its sequence (UniProtKB) and structure (PDB) and used for manual SCOP classification. The SCOP domain boundaries are assigned to both, the PDB and UniProtKB entry.

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Jun 25, 2024 · The SCOP database classifies non-redundant protein domains. Representative proteins are selected based on sequence (UniProtKB) and structure (PDB) for manual SCOP classification. The classification of the representative is then automatically extended to related entries using SIFTS.

SCOP is a (mostly) manually curated ordering of domains from the majority of proteins of known structure in a hierarchy according to structural and evolutionary relationships. Development of SCOP (version 1) concluded with SCOP 1.75, released in June 2009.