An optimization approach to multiple sequence alignment
โ Scribed by F.Y. Hunt; A.J. Kearsley; Honghui Wan
- Book ID
- 104349512
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 531 KB
- Volume
- 16
- Category
- Article
- ISSN
- 0893-9659
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โฆ Synopsis
The problem of multiple sequence alignment is recast ss an optimization problem using Markov decision theory. One seeks to minimize the expected or average cost of alignment subject to data-derived constraints.
In this setting, the problem is equivalent to a linear program which can be solved efficiently using modern interior-point methods. We present numerical results from an implementation of the algorithm for protein sequence alignment.
๐ SIMILAR VOLUMES
We consider the problem of multiple sequence alignment: given k sequences of length at most n and a certain scoring function, find an alignment that minimizes the corresponding "sum of pairs" distance score. We generalize the divide-and-conquer technique described in [1,2], and present new ideas on
Correct alignment of the sequence of a target protein with those of homologues of known three-dimensional structure is a key step in comparative modeling. Usually an iterative approach that takes account of the local and overall structural features is required. We describe such an approach that expl