The DynaMine webserver: predicting protein dynamics from sequence

Elisa Cilia, Rita Pancsa, Peter Tompa, Tom Lenaerts, Wim Vranken

Research output: Contribution to journalArticlepeer-review

106 Citations (Scopus)


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. The DynaMine webserver, including instructive examples describing the meaning of the profiles, is available at
Original languageEnglish
Pages (from-to)W264-W270
JournalNucleic Acids Research
Issue numberW1
Publication statusPublished - 2014


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