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| Content Provider | ACM Digital Library |
|---|---|
| Author | Berger, Bonnie Kim, Peter S. Bradley, Phil |
| Abstract | We describe a new computer program, Trilogy, for the automated discovery of sequence-structure patterns in proteins. Trilogy implements a pattern discovery algorithm that begins with an exhaustive analysis of flexible three-residue patterns; a subset of these patterns are selected as seeds for an extension process in which longer patterns are identified. A key feature of the method is explicit treatment of both the sequence and structure components of these motifs: each Trilogy pattern is a pair consisting of a sequence pattern and a structure pattern. Matches to both these component patterns are identified independently, allowing the program to assign a significance score to each sequence-structure pattern that assesses the degree of correlation between the corresponding sequence and structure motifs. Trilogy identifies several thousand high-scoring patterns that occur across protein families. These include both previously identified and novel motifs. We expect that these sequence-structure patterns will be useful in predicting protein structure from sequence, annotating newly determined protein structures, and identifying novel motifs of potential functional or structural significance. |
| Starting Page | 77 |
| Ending Page | 88 |
| Page Count | 12 |
| File Format | |
| ISBN | 1581134983 |
| DOI | 10.1145/565196.565206 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2002-04-18 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
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