Name
Abstract | ||
|---|---|---|
Protein dynamics are important for understanding protein function. Unfortunately, accurate protein dynamics information is difficult to obtain: here we present the DynaMine webserver, which provides predictions for the fast backbone movements of proteins directly from their amino-acid sequence. DynaMine rapidly produces a profile describing the statistical potential for such movements at residue-level resolution. The predicted values have meaning on an absolute scale and go beyond the traditional binary classification of residues as ordered or disordered, thus allowing for direct dynamics comparisons between protein regions. Through this webserver, we provide molecular biologists with an efficient and easy to use tool for predicting the dynamical characteristics of any protein of interest, even in the absence of experimental observations. The prediction results are visualized and can be directly downloaded. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1093/nar/gku270 | NUCLEIC ACIDS RESEARCH |
Field | DocType | Volume |
Binary classification,Biology,Protein dynamics,Dynamine,Protein function,Statistical potential,Bioinformatics,Computational biology,Genetics,Web server | Journal | 42 |
Issue | ISSN | Citations |
W1 | 0305-1048 | 5 |
PageRank | References | Authors |
0.48 | 11 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elisa Cilia | 1 | 5 | 0.48 |
| Rita Pancsa | 2 | 10 | 2.60 |
| Peter Tompa | 3 | 8 | 1.54 |
| Tom Lenaerts | 4 | 276 | 53.44 |
| Wim F. Vranken | 5 | 112 | 19.85 |