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| Content Provider | PubMed Central |
|---|---|
| Author | Pandit, Shashi Bhushan Zhang, Yang Skolnick, Jeffrey |
| Copyright Year | 2006 |
| Abstract | This study involves the development of a rapid comparative modeling tool for homologous sequences by extension of the TASSER methodology, developed for tertiary structure prediction. This comparative modeling procedure was validated on a representative benchmark set of proteins in the Protein Data Bank composed of 901 single domain proteins (41–200 residues) having sequence identities between 35–90% with respect to the template. Using a Monte Carlo search scheme with the length of runs optimized for weakly/nonhomologous proteins, TASSER often provides appreciable improvement in structure quality over the initial template. However, on average, this requires ∼29 h of CPU time per sequence. Since homologous proteins are unlikely to require the extent of conformational search as weakly/nonhomologous proteins, TASSER's parameters were optimized to reduce the required CPU time to ∼17 min, while retaining TASSER's ability to improve structure quality. Using this optimized TASSER (TASSER-Lite), we find an average improvement in the aligned region of ∼10% in root mean-square deviation from native over the initial template. Comparison of TASSER-Lite with the widely used comparative modeling tool MODELLER showed that TASSER-Lite yields final models that are closer to the native. TASSER-Lite is provided on the web at http://cssb.biology.gatech.edu/skolnick/webservice/tasserlite/index.html. |
| Related Links | http://dx.doi.org/10.1529/biophysj.106.084293 |
| Ending Page | 4190 |
| Page Count | 11 |
| Starting Page | 4180 |
| File Format | |
| ISSN | 00063495 |
| e-ISSN | 15420086 |
| Journal | Biophysical Journal |
| Issue Number | 11 |
| Volume Number | 91 |
| Language | English |
| Publisher | Biophysical Society |
| Publisher Date | 2006-12-01 |
| Access Restriction | Open |
| Rights Holder | Biophysical Society |
| Subject Keyword | Biophysics Research in Higher Education |
| Content Type | Text |
| Resource Type | Article |
| Subject | Biophysics |
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