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Protein–protein docking, the prediction of protein–protein interactions based only on the three-dimensional protein structures from X-ray diffraction of protein crystals might not be satisfactory. [44] [45] Network analysis includes the analysis of interaction networks using methods of graph theory or statistical methods.
A benchmark of 84 protein–protein interactions with known complexed structures has been developed for testing docking methods. [15] The set is chosen to cover a wide range of interaction types, and to avoid repeated features, such as the profile of interactors' structural families according to the SCOP database.
Protein–lipid interaction is the influence of membrane proteins on the lipid physical state or vice versa. The questions which are relevant to understanding of the structure and function of the membrane are: 1) Do intrinsic membrane proteins bind tightly to lipids (see annular lipid shell ), and what is the nature of the layer of lipids ...
In 2006, random forest, an example of a supervised technique, was found to be the most-effective machine learning method for protein interaction prediction. [57] Such methods have been applied for discovering protein interactions on human interactome, specifically the interactome of Membrane proteins [58] and the interactome of Schizophrenia ...
Protein–protein interaction prediction is a field combining bioinformatics and structural biology in an attempt to identify and catalog physical interactions between pairs or groups of proteins. Understanding protein–protein interactions is important for the investigation of intracellular signaling pathways, modelling of protein complex ...
Graphical models 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.
An example protein interaction network, produced through the STRING web resource. Patterns of protein interactions within networks are used to infer function. Here, products of the bacterial trp genes coding for tryptophan synthase are shown to interact with themselves and other, related proteins.
Critical Assessment of PRediction of Interactions (CAPRI) is a community-wide experiment in modelling the molecular structure of protein complexes, otherwise known as protein–protein docking. The CAPRI [ 1 ] is an ongoing series of events in which researchers throughout the community attempt to dock the same proteins, as provided by the ...