Protein structure evolution and the SCOP database.

نویسندگان

  • Boojala V B Reedy
  • Philip E Bourne
چکیده

The structure of a protein can elucidate its function and its evolutionary history (seeChapters 18, 21 and 23). Extracting this information requires knowledge of the structure and its relationships with other proteins. These in turn require a general knowledge of the folds that proteins adopt and detailed information about the structure of many proteins. Nearly all proteins have structural similarities with other proteins, and inmany cases, share a common evolutionary origin. The knowledge of these relationshipsmakes important contributions to structural bioinformatics and other related areas of science. Further, these relationships will play an important role in the interpretation of sequences produced by genome projects. To facilitate understandingand access to the information available for knownprotein structures, Murzin, Brenner, Hubbard, and Chothia (1995) have constructed a structural classification of proteins (SCOP) database. The SCOPdatabase is based on evolutionary relationships and on the principles that govern their three-dimensional structure. It provides for each entry links to coordinates, images of the structure, interactive viewers, sequence data, and literature references. The database is freely accessible on the World Wide Web (http:// scop.mrc-lmb.cam.ac.uk/scop). To understand the rationale behind SCOP, we begin with a discussion of protein evolution from a sequence structure and functional perspective.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

GIS: a comprehensive source for protein structure similarities

A web service for analysis of protein structures that are sequentially or non-sequentially similar was generated. Recently, the non-sequential structure alignment algorithm GANGSTA+ was introduced. GANGSTA+ can detect non-sequential structural analogs for proteins stated to possess novel folds. Since GANGSTA+ ignores the polypeptide chain connectivity of secondary structure elements (i.e. alpha...

متن کامل

The value of protein structure classification information—Surveying the scientific literature

The Structural Classification of Proteins (SCOP) and Class, Architecture, Topology, Homology (CATH) databases have been valuable resources for protein structure classification for over 20 years. Development of SCOP (version 1) concluded in June 2009 with SCOP 1.75. The SCOPe (SCOP-extended) database offers continued development of the classic SCOP hierarchy, adding over 33,000 structures. We ha...

متن کامل

SCOP database in 2004: refinements integrate structure and sequence family data

The Structural Classification of Proteins (SCOP) database is a comprehensive ordering of all proteins of known structure, according to their evolutionary and structural relationships. Protein domains in SCOP are hierarchically classified into families, superfamilies, folds and classes. The continual accumulation of sequence and structural data allows more rigorous analysis and provides importan...

متن کامل

SCOPe: Structural Classification of Proteins—extended, integrating SCOP and ASTRAL data and classification of new structures

Structural Classification of Proteins-extended (SCOPe, http://scop.berkeley.edu) is a database of protein structural relationships that extends the SCOP database. SCOP is a manually curated ordering of domains from the majority of proteins of known structure in a hierarchy according to structural and evolutionary relationships. Development of the SCOP 1.x series concluded with SCOP 1.75. The AS...

متن کامل

The history of the CATH structural classification of protein domains

This article presents a historical review of the protein structure classification database CATH. Together with the SCOP database, CATH remains comprehensive and reasonably up-to-date with the now more than 100,000 protein structures in the PDB. We review the expansion of the CATH and SCOP resources to capture predicted domain structures in the genome sequence data and to provide information on ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Methods of biochemical analysis

دوره 44  شماره 

صفحات  -

تاریخ انتشار 2003