4.8 Article

Data growth and its impact on the SCOP database: new developments

Journal

NUCLEIC ACIDS RESEARCH
Volume 36, Issue -, Pages D419-D425

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkm993

Keywords

-

Funding

  1. MRC [G0100305] Funding Source: UKRI
  2. NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R01GM073109] Funding Source: NIH RePORTER
  3. Medical Research Council [G0100305, MC_U105192716] Funding Source: Medline
  4. NIGMS NIH HHS [R01-GM073109, R01 GM073109] Funding Source: Medline
  5. Wellcome Trust [077198] Funding Source: Medline

Ask authors/readers for more resources

The Structural Classification of Proteins (SCOP) database is a comprehensive ordering of all proteins of known structure, according to their evolutionary and structural relationships. The SCOP hierarchy comprises the following levels: Species, Protein, Family, Superfamily, Fold and Class. While keeping the original classification scheme intact, we have changed the production of SCOP in order to cope with a rapid growth of new structural data and to facilitate the discovery of new protein relationships. We describe ongoing developments and new features implemented in SCOP. A new update protocol supports batch classification of new protein structures by their detected relationships at Family and Superfamily levels in contrast to our previous sequential handling of new structural data by release date. We introduce pre-SCOP, a preview of the SCOP developmental version that enables earlier access to the information on new relationships. We also discuss the impact of worldwide Structural Genomics initiatives, which are producing new protein structures at an increasing rate, on the rates of discovery and growth of protein families and superfamilies. SCOP can be accessed at http://scop.mrc-lmb.cam.ac.uk/scop.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available