Abstract
Identification of correlated amino acids in proteins has been a topic of broad interest in view of its functional implications and importance in protein design. A new set of pair-to-pair (P2P) substitution matrices for amino acids was recently introduced as a useful tool for inferring information on such correlated sites. We present a website developed for automated application of these matrices for analysis of query sequences. The site offers options for graphical analysis of correlations, as well as visualization of correlated amino acids on representative, structurally characterized, members of the examined family of sequences.
| Original language | English |
|---|---|
| Pages (from-to) | 1837-1839 |
| Number of pages | 3 |
| Journal | Bioinformatics |
| Volume | 23 |
| Issue number | 14 |
| DOIs | |
| Publication status | Published - 15 Jul 2007 |
All Science Journal Classification (ASJC) codes
- Computational Mathematics
- Molecular Biology
- Biochemistry
- Statistics and Probability
- Computer Science Applications
- Computational Theory and Mathematics