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MODexplorer can be used to analyze sequence and structural conservation among the structures of similar proteins, to find structures of homologs solved in different conformational state or with different ligands and to transfer functional annotations.
"Certainly, if the flux continues to be so intense, it becomes more difficult to find structures.
Often we can find structures that are inhabitable or find ones that are intact enough that we can just use them as sets".
A good similarity measure will find structures that are related to the reference – or that potentially interact with the target protein – in the first few percent of the list.
In many geographical knowledge discovery tasks, the attractiveness of spatial cluster analysis is its ability to find structures directly from the data without relying on any a priori known spatial concept hierarchies.
This is not true in SynTReN modelled data where we find structures indicating symmetry.
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The aim of clustering is to find structure in data and is therefore exploratory in nature.
The elementary differential geometry ideas are used to find structure equations describing the world sheet.
The analysis is used to reduce and find structure in attitude data and can be used to create attitude measures.
This process blends business systems engineering, elegant statistical methods, and industrial-strength computing power to find structure.
As we grow older especially after we retire it can be difficult to find structure and meaning day in and day out.
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