Core column prediction for protein multiple sequence alignments
نویسندگان
چکیده
منابع مشابه
The prediction of protein contacts from multiple sequence alignments.
We have studied the question of how much extra predictive power the correlated mutational behaviour of pairs of amino acid residues separated along a sequence has concerning the likelihood of those residues being in contact in the folded protein. The mutational behaviour is deduced from multiple sequence alignments. Our findings are that there is, indeed, some valuable information available fro...
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Accurate multiple sequence alignments of proteins are very important to several areas of computational biology and provide an understanding of phylogenetic history of domain families, their identification and classification. This article presents a new algorithm, REFINER, that refines a multiple sequence alignment by iterative realignment of its individual sequences with the predetermined conse...
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Efforts to use computers in predicting the secondary structure of proteins based only on primary structure information started over a quarter century ago [1-3]. Although the results were encouraging initially, the accuracy of the pioneering methods generally did not attain the level required for using predictions of secondary structures reliably in modelling the three-dimensional topology of pr...
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Multiple sequence alignments have much to offer to the understanding of protein structure, evolution and function. We are developing approaches to use this information in predicting protein-binding specificity, intra-protein and protein-protein interactions, and in reconstructing protein interaction networks.
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Current methods for identification of domains within protein sequences require either structural information or the identification of homologous domain sequences in different sequence contexts. Knowledge of structural domain boundaries is important for fold recognition experiments and structural determination by X-ray crystallography or nuclear magnetic resonance spectroscopy using the divide-a...
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ژورنال
عنوان ژورنال: Algorithms for Molecular Biology
سال: 2017
ISSN: 1748-7188
DOI: 10.1186/s13015-017-0102-3