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Three-dimensional similarity measures

Conversion of dipolar coupling data into three-dimensional structures presents a major challenge for folded proteins and for not-folded proteins, an additional set of obstacles must be confronted (Ackerman and Shortle, 2002). Nevertheless, the correlation of dipolar couplings measured under two sets of conditions establishes that the structures are likely to be highly similar. [Pg.36]

One important application of matrix algebra is formulating the transformations of points or vectors which define a geometrical entity in space. In ordinary three-dimensional space that involves three axes, any point is located by means of three coordinates measured along these axes. Similarly... [Pg.21]

See other pages where Three-dimensional similarity measures is mentioned: [Pg.157]    [Pg.21]    [Pg.292]    [Pg.228]    [Pg.203]    [Pg.2083]    [Pg.540]    [Pg.664]    [Pg.694]    [Pg.130]    [Pg.374]    [Pg.261]    [Pg.125]    [Pg.113]    [Pg.86]    [Pg.467]    [Pg.262]    [Pg.19]    [Pg.59]    [Pg.126]    [Pg.84]    [Pg.27]    [Pg.380]    [Pg.82]    [Pg.11]    [Pg.390]    [Pg.453]    [Pg.46]    [Pg.179]    [Pg.201]    [Pg.169]    [Pg.136]    [Pg.240]    [Pg.251]    [Pg.309]    [Pg.241]    [Pg.7]    [Pg.252]    [Pg.5]    [Pg.216]    [Pg.18]    [Pg.552]    [Pg.115]    [Pg.133]    [Pg.150]    [Pg.760]    [Pg.145]    [Pg.332]   
See also in sourсe #XX -- [ Pg.94 ]



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