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Using structural information to guide small-molecule design and generate new chemical ideas is now a mainstay in the drug discovery process.
Other approaches have been developed recently using structural information to map between terminologies.
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Several aspects will be discussed including the top ranking kinases, the information gained from experimental hit rates [3] as well as our attempts to use structural information to enhance compound selectivity.
The first type uses structural information to improve specificity.
Computational approaches that use structural information to predict the effects of mutagenesis on protein solubility have been rare.
As described above, in the Codon Sorting section, we have used structural information to partition sites into classes, which are expected to have different selective pressures and thus different ω ratios.
This very high accuracy, obtained when using structural information is, however, to be interpreted with some caution.
By this approach, we demonstrate that using structural information for phylogenetic analyses led to trees with lower resolved relationships between clades and likely eliminated some artefactual support for misinterpreted relationships, such as paraphyly of Helicotylenchus or Rotylenchus.
In fact, these data could be used to create structurally aware alignments of the sequences, using structural information for only one or a few members of the protein family (see Figure S2).
Thermal entropy behavior was obtained by using structural information of both inherent structures and atomic configurations.
For many alignment methods, rescoring of alignment-induced models using structural information can improve the separation of useful and less useful models as compared with the alignment score.
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