Abstract
Summary: To facilitate the building of triple-helical polypeptide structures, we provide an interactive, platform-independent Tcl/Tk script. User specified amino acid sequences are parsed to obtain localized melting temperature estimates corresponding to helical propensity. These propensities may be graphically examined prior to their automated use in combination with two separate statistical parameter sets to build the complete polypeptide backbone and, if desired, predict side-chain terminal atom locations.
| Original language | English |
|---|---|
| Pages (from-to) | 2458-2459 |
| Number of pages | 2 |
| Journal | Bioinformatics |
| Volume | 20 |
| Issue number | 15 |
| DOIs | |
| Publication status | Published - Oct 12 2004 |
| Externally published | Yes |
Bibliographical note
Funding Information:We thank Robert Boyko at PENCE for helpful discussions regarding Tcl/Tk, Darren Anderson at U of T for beta-testing and the reviewers for useful suggestions. J.K.R. is grateful for an Alberta Heritage Foundation for Medical Research Postdoctoral Fellowship and for the use of PENCE computers during script development.
ASJC Scopus Subject Areas
- Statistics and Probability
- Biochemistry
- Molecular Biology
- Computer Science Applications
- Computational Theory and Mathematics
- Computational Mathematics