Sequencing delivers diminishing returns for homology detection: Implications for mapping the protein universe

20Citations
Citations of this article
51Readers
Mendeley users who have this article in their library.

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. © The Author 2010. Published by Oxford University Press. All rights reserved.

Cite

CITATION STYLE

APA

Chubb, D., Jefferys, B. R., Sternberg, M. J. E., & Kelley, L. A. (2010). Sequencing delivers diminishing returns for homology detection: Implications for mapping the protein universe. Bioinformatics, 26(21), 2664–2671. https://doi.org/10.1093/bioinformatics/btq527

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free