Download A Bayes-optimal sequence-structure theory that unifies by Lathrop R. H., Rogers Jr R. G., Smith T. F. PDF

By Lathrop R. H., Rogers Jr R. G., Smith T. F.

A rigorous Bayesian research is gifted that unifies protein sequence-structure alignment and popularity. Given a chain, particular formulae are derived to choose (1) its globally so much possible center constitution from a constitution library; (2) its globally such a lot possible alignment to a given center constitution; (3) its so much possible joint center constitution and alignment selected globally around the whole library; and (4) its such a lot possible person segments, secondary constitution, and super-secondary buildings around the complete library. The computations concerned are NP-hard within the basic case (3D-3D). quickly distinct recursions for the limited series singleton-only (1D-3D) case are given. Conclusions contain: (a) the main possible joint middle constitution and alignment isn't unavoidably the main possible alignment of the main possible middle constitution, yet relatively maximizes the manufactured from center and alignment percentages; (b) use of a sequence-independent linear or affine hole penalty can result within the highest-probability threading now not having the bottom rating; (c) picking out the main possible middle constitution from the library (core constitution choice or fold acceptance basically) contains evaluating chances summed over all attainable alignments of the series to the center, and never evaluating person optimum (or near-optimal) sequence-structure alignments; and (d) assuming uninformative priors, center constitution choice is reminiscent of evaluating the ratio of 2 worldwide capacity.

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Additional info for A Bayes-optimal sequence-structure theory that unifies protein sequence-structure recognition and alignment

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