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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.
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 ...
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.
This group of methods [11] [9] [12] [13] [14] makes use of known protein complex structures to predict and structurally model interactions between query protein sequences. The prediction process generally starts by employing a sequence based method (e.g. Interolog) to search for protein complex structures that are homologous to the query ...
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.
A binding interaction between a small molecule ligand and an enzyme protein may result in activation or inhibition of the enzyme. If the protein is a receptor, ligand binding may result in agonism or antagonism. Docking is most commonly used in the field of drug design — most drugs are small organic molecules, and docking may be applied to:
Lipidomics is a research field that studies the pathways and networks of cellular lipids in biological systems (i.e., lipidomes) on a large scale. It involves the identification and quantification of the thousands of cellular lipid molecular species and their interactions with other lipids, proteins, and other moieties in vivo.