Sequencing delivers diminishing returns for homology detection: implications for mapping the protein universe.
Bioinformatics
; 26(21): 2664-71, 2010 Nov 01.
Article
em En
| MEDLINE
| ID: mdl-20843957
ABSTRACT
MOTIVATION Databases of sequenced genomes are widely used to characterize the structure, function and evolutionary relationships of proteins. The ability to discern such relationships is widely expected to grow as sequencing projects provide novel information, bridging gaps in our map of the protein universe. RESULTS:
We have plotted our progress in protein sequencing over the last two decades and found that the rate of novel sequence discovery is in a sustained period of decline. Consequently, PSI-BLAST, the most widely used method to detect remote evolutionary relationships, which relies upon the accumulation of novel sequence data, is now showing a plateau in performance. We interpret this trend as signalling our approach to a representative map of the protein universe and discuss its implications.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Proteínas
/
Análise de Sequência de Proteína
Tipo de estudo:
Diagnostic_studies
Idioma:
En
Ano de publicação:
2010
Tipo de documento:
Article