Graphical models for protein structure: Difference between revisions

Revision as of 14:42, 23 August 2010

Revision as of 15:25, 23 August 2010

Line 1:

{{OrphanNo footnotes|date=June 2010}}

{{nofootnotes|date=June 2010}}

[[Graphical model]]s have become powerful frameworks for [[protein structure prediction]], [[protein–protein interaction]] and [[free energy]] calculations for protein structures. Using a graphical model to represent the protein structure allows the solution of many problems including secondary structure prediction, protein protein interactions, protein-drug interaction, and free energy calculations.

Line 63 ⟶ 62:

Once the model is learned, we can repeat the same step as in the discrete case, to get the density functions at each node, and use analytical form to calculate the free energy. Here, the [[partition function]] already has a [[closed form]], so the [[inference]], at least for the Gaussian graphical models is trivial. If the analytical form of the partition function is not available, [[particle filtering]] or [[expectation propagation]] can be used to approximate ''Z'', and then perform the inference and calculate free energy.

{{nofootnotesNo footnotes|date=JuneAugust 2010}}

{{nofootnotes}}

== References ==

<!--- See http://en.wikipedia.org/wiki/Wikipedia:Footnotes on how to create references using <ref></ref> tags which will then appear here automatically -->

Line 75 ⟶ 74:

<!--- Categories --->

{{DEFAULTSORT:Graphical Models For Protein Structure}}

[[Category:Articles created via the Article Wizard]]

[[Category:Graphical models]]