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Identifying coevolving positions in protein sequences has myriad applications, ranging from understanding and predicting the structure of single molecules to generating proteome-wide predictions of interactions.
This consensus can be used to guide structure prediction, and we report here on its successful use with Rosetta [13] in predicting the structure of 3-phosphoinositide dependent protein kinase-1 (PDK1) and the atypical protein kinase Rio2.
This technique is a powerful method for predicting the structure of RNAs and for analyzing specific functional characteristics.
The outer structures provide matching conditions required for predicting the structure of the reaction zone.
This annual event invites researchers to participate in a series of "DREAM challenges," which are designed to identify the best practices for predicting the structure of biological networks.
Modeling and predicting the structure of proteins is one of the most important challenges of computational biology.
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DI indeed showed remarkable success in predicting the structures of membrane proteins (Hopf et al., 2012).
Given sufficiently large protein families, the contact predictions contain sufficient information to predict the structure of many protein families.
We have also added the ability to predict the structure of arguments in the clause heads of the analyzed program.
Introduces the basic computational methods used to model and predict the structure of biomolecules (proteins, DNA, RNA).
The template structure was identified by DNA-bound form so that we could predict the structure of IpPax-6 and the variant in DNA-bound form.
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