Name
Title | ||
|---|---|---|
PconsC: combination of direct information methods and alignments improves contact prediction. |
Abstract | ||
|---|---|---|
Recently, several new contact prediction methods have been published. They use (i) large sets of multiple aligned sequences and (ii) assume that correlations between columns in these alignments can be the results of indirect interaction. These methods are clearly superior to earlier methods when it comes to predicting contacts in proteins. Here, we demonstrate that combining predictions from two prediction methods, PSICOV and plmDCA, and two alignment methods, HHblits and jackhmmer at four different e-value cut-offs, provides a relative improvement of 20% in comparison with the best single method, exceeding 70% correct predictions for one contact prediction per residue. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1093/bioinformatics/btt259 | BIOINFORMATICS |
Keywords | Field | DocType |
biological sciences | Data mining,Source code,Computer science,Bioinformatics | Journal |
Volume | Issue | ISSN |
29 | 14 | 1367-4803 |
Citations | PageRank | References |
23 | 1.37 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marcin J. Skwark | 1 | 144 | 8.76 |
| Abbi Abdel-Rehim | 2 | 23 | 1.37 |
| Arne Elofsson | 3 | 633 | 56.98 |