Matt: Local Flexibility Aids Protein Multiple Structure Alignment

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Matt: Local Flexibility Aids Protein Multiple Structure Alignment

Even when there is agreement on what measure a protein multiple structure alignment should be optimizing, finding the optimal alignment is computationally prohibitive. One approach used by many previous methods is aligned fragment pair chaining, where short structural fragments from all the proteins are aligned against each other optimally, and the final alignment chains these together in geome...

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Multiple Protein Structure Alignment by Deterministic Annealing

Although many algorithms have been developed so far for structure alignment problem based on either distancebased methods or vector-based methods, such as iterative dynamical programming, Monte Carlo simulation, graph theory, and mean field equations, only a few methods are published for multiple structure alignment, such as progressive structure alignment and Monte Carlo optimization. In this ...

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If we know the structures of the proteins A and B, and the function of protein A, then if we can detect structural similarity between A and B by producing an alignment between them, it can help us infer functionality of B. The problem of protein structure alignment is essentially similar to the sequence alignment; the fact that we have to do structural alignment in 3-d adds to the complexity of...

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ژورنال

عنوان ژورنال: PLoS Computational Biology

سال: 2008

ISSN: 1553-7358

DOI: 10.1371/journal.pcbi.0040010