There has been a renewed interest in the use of graphical models for protein structure prediction due to their ability to capture complex interactions between proteins.
A graphical model is a type of modeling tool used in statistics that allows the user to represent data using graphical objects such as curves and planes.
These models are typically used for probabilistic modeling, which can be used to predict the probability of something occurring given some set of data.
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