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1.
Summary A structure-based scoring matrix MDPRE was derived from amino acid spatial preferences in protein structures. Sequence alignment and evolutionary studies by using MDPRE matrix gave similar results as those from ordinary sequence and structure alignments. It is interesting that a matrix derived from structure data solely could give comparable alignment results, strongly indicating the intimate connection between protein sequences and structures. The branch order and length from this approach were close to those obtained by a structure comparison method. Thus, by applying this structure-based matrix, the trees obtained should reflect evolutionary characteristics of protein structure. This approach takes advantage over a direct structure comparison in that (1) only a sequence and MDPRE matrix are needed, making it simple and widely applicable (especially in the absence of 3-dimensional protein structure data); (2) an established algorithm for sequence alignment and tree building could be employed, providing opportunities for direct comparison between matrices from different methodologies. One of the most striking features of this method is its capability to detect protein structure homologies when the sequence identities are low. This was well reflected in the given examples of the alignment of dinucleotidebinding domains.  相似文献   

2.
To date all attempts to derive a phyletic relationship among restriction endonucleases (ENases) from multiple sequence alignments have been limited by extreme divergence of these enzymes. Based on the approach of Johnson et al. (1990), I report for the first time the evolutionary tree of the ENase-like protein superfamily inferred from quantitative comparison of atomic coordinates of structurally characterized enzymes. The results presented are in harmony with previous comparisons obtained by crystallographic analyses. It is shown that λ-exonuclease initially diverged from the common ancestor and then two ``endonucleolytic' families branched out, separating ``blunt end cutters' from ``5′ four-base overhang cutters.' These data may contribute to a better understanding of ENases and encourage the use of structure-based methods for inference of phylogenetic relationship among extremely divergent proteins. In addition, the comparison of three-dimensional structures of ENase-like domains provides a platform for further clustering analyses of sequence similarities among different branches of this large protein family, rational choice of homology modeling templates, and targets for protein engineering. Received: 14 June 1999 / Accepted: 11 August 1999  相似文献   

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