Bottom - Index of papers - Paper in HTML - Abstract - CUBIC
| Title: | Domains, motifs, and clusters in the protein universe |
| Author: | Jinfeng Liu & Burkhard Rost |
| Quote: | Current Opinion in Chemical Biology (2003), 7, 5-11 |
The rapid growth bio-sequences results in an increasing demand for reliable methods that group proteins. A few databases with curated alignments of protein families have demonstrated that expert-driven repositories can keep up with the data deluge in the genome era. These original resources implicitly identify domain-like modules in proteins. An increasing number of automatic methods have sprouted over the last years that cluster the protein universe. Many of these implicitly dissect proteins into structural domain-like fragments. In a very coarse-grained evaluation some of the automatic methods appear on par with expert-driven approaches. However, neither automatic nor manual methods are currently entirely up to the challenges of tasks such as target selection in structural genomics. Thus, we urgently need refined and sustained automatic clustering tools.