Literature DB >> 9223650

Multiple sequence threading: an analysis of alignment quality and stability.

W R Taylor1.   

Abstract

Methods that compare a protein sequence directly to a structure can be divided into those that construct a molecular model (threading methods) and those that perform a sequence alignment with the structure encoded as a sequence of structural states (one-dimensional/three-dimensional (1D/3D) matching). The former take into account the internal packing of the molecule but the latter do not. On the other hand, it is simple to include multiple sequence data in a 1D/3D comparison but difficult in a threading method. Here, a protein sequence/structure alignment method is described that uses a combination of matching predicted and observed residue exposure, predicted and observed secondary structure (1D/3D) together with pairwise packing interactions in the core (threading). Using a variety of distantly related and analogous protein structures, the multiple sequence threading (MST) method was compared to a single sequence threading (SST) method (that uses complex potentials of mean-force) and also to a multiple sequence alignment (MSA) program. It was found that the MST method produced alignments that were better than the best that could be obtained with either the SST or MSA method. The method was found to be stable to error in both secondary structure prediction and predicted exposure and also under variation of the key parameters (fully described in an Appendix). The contribution of the pairwise term was found to be small but without it, the correct alignments were less stable and structurally unreasonable deletions were observed when matching against larger structures. Using the parameters derived for alignment, the method was able to recognise related folds in the structure databank with a specificity comparable to other methods.

Mesh:

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Year:  1997        PMID: 9223650     DOI: 10.1006/jmbi.1997.1008

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  12 in total

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4.  An unusual choanoflagellate protein released by Hedgehog autocatalytic processing.

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5.  Predicting protein folding rates from geometric contact and amino acid sequence.

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6.  Identifying functionally informative evolutionary sequence profiles.

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8.  Consensus structural models for the amino terminal domain of the retrovirus restriction gene Fv1 and the murine leukaemia virus capsid proteins.

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9.  Prediction of protein domain boundaries from inverse covariances.

Authors:  Michael I Sadowski
Journal:  Proteins       Date:  2012-10-16

10.  An approach to large scale identification of non-obvious structural similarities between proteins.

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Journal:  BMC Bioinformatics       Date:  2004-05-17       Impact factor: 3.169

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