An Optimal Structure-Discriminative Amino Acid Index for Protein Fold Recognition
نویسندگان
چکیده
منابع مشابه
An optimal structure-discriminative amino acid index for protein fold recognition.
Identifying the fold class of a protein sequence of unknown structure is a fundamental problem in modern biology. We apply a supervised learning algorithm to the classification of protein sequences with low sequence identity from a library of 174 structural classes created with the Combinatorial Extension structural alignment methodology. A class of rules is considered that assigns test sequenc...
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In the present article, we provide a brief overview of the main approaches to analysing the sequence-structure relationship of proteins and outline a novel method of structure prediction. The proposed method involves finding a set of rules that describes a correlation between the distribution of residues in a sequence and the essential structural characteristics of a protein structure. The resi...
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Protein design experiments have shown that the use of specific subsets of amino acids can produce foldable proteins. This prompts the question of whether there is a minimal amino acid alphabet which could be used to fold all proteins. In this work we make an analogy between sequence patterns which produce foldable sequences and those which make it possible to detect structural homologs by align...
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Based on the Randic suggestion of the resolution of a structure into shape, size, and function an index representing structure-catabolic fate relationships of amino acids is constructed. The index obtained by multiplying three factors; (nb2 + nr), nc and M; representing shape, size and function respectively, where nb2 = number of double bonds, nr = number of rings, nc = number of carbon atoms, ...
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ژورنال
عنوان ژورنال: Biophysical Journal
سال: 2004
ISSN: 0006-3495
DOI: 10.1016/s0006-3495(04)74117-x