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OmniMerge: A Systematic Approach to Constrained Conformational Search

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dc.creator Tucker-Kellogg, Lisa
dc.creator Lozano-Pérez, Tomás
dc.date 2003-11-16T19:29:43Z
dc.date 2003-11-16T19:29:43Z
dc.date 2003-01
dc.date.accessioned 2013-10-09T02:31:56Z
dc.date.available 2013-10-09T02:31:56Z
dc.date.issued 2013-10-09
dc.identifier http://hdl.handle.net/1721.1/3684
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description OmniMerge performs a systematic search to enumerate all conformations of a molecule (at a given level of torsion-angle resolution) that satisfy a set of local geometric constraints. Constraints would typically come from NMR experiments, but applications such as docking or homology modeling could also give rise to similar constraints. The molecule to be searched is partitioned into small subchains so that the set of possible conformations for the whole molecule may be constructed by merging the feasible conformations for the subchain parts. However, instead of using a binary tree for straightforward divide-and-conquer, OmniMerge defines a sub-problem for every possible subchain of the molecule. Searching every subchain provides a counter-intuitive advantage: with every possible subdivision available for merging, one may choose the most favorable merge for each subchain, particularly for the bottleneck chain(s). Improving the bottleneck step may therefore cause the whole search to be completed more quickly. Finally, to discard infeasible conformations more rapidly, OmniMerge filters the solution set of each subchain based on compatibility with the solutions sets of all overlapping subchains. These two innovations—choosing the most favorable merges and enforcing consistency between overlapping subchains—yield significant improvements in run time. By determining the extent of structural variability permitted by a set of constraints, OmniMerge offers the potential to aid error analysis and improve confidence for NMR results on peptides and moderate-sized molecules.
dc.description Singapore-MIT Alliance (SMA)
dc.format 90811 bytes
dc.format application/pdf
dc.language en_US
dc.relation Computer Science (CS);
dc.subject distance geometry
dc.subject conformational search
dc.subject systematic search
dc.subject NMR spectroscopy
dc.subject structural biology
dc.subject protein folding
dc.subject computational biology
dc.title OmniMerge: A Systematic Approach to Constrained Conformational Search
dc.type Article


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