Name
Abstract | ||
|---|---|---|
We present a general method for assessing threading score significance. The threading score of a protein sequence, thread onto a given structure, should be compared with the threading score distribution of a random amino-acid sequence, of the same length, thread on the same structure; small p-values point significantly high scores. We claim that, due to general protein contact map properties, this reference distribution is a Weibull extreme value distribution whose parameters depend on the threading method, the structure, the length of the query and the random sequence simulation model used. These parameters can be estimated off-line with simulated sequence samples, for different sequence lengths. They can further be interpolated at the exact length of a query, enabling the quick computation of the p-value. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1089/cmb.2011.0236 | JOURNAL OF COMPUTATIONAL BIOLOGY |
Keywords | Field | DocType |
computational molecular biology,Markov chains,sequence analysis,statistics,stochastic process | Generalized extreme value distribution,Random sequence,Threading (manufacturing),Weibull distribution,Stochastic process,Thread (computing),Probability distribution,Bioinformatics,Mathematics,Protein contact map | Journal |
Volume | Issue | ISSN |
19.0 | 1 | 1066-5277 |
Citations | PageRank | References |
1 | 0.36 | 2 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Afshin Fayyaz Movaghar | 1 | 1 | 0.36 |
| Guillaume Launay | 2 | 97 | 4.98 |
| S Schbath | 3 | 303 | 40.02 |
| Jean-françois Gibrat | 4 | 126 | 6.08 |
| François Rodolphe | 5 | 38 | 2.55 |