Literature DB >> 9390315

Using the radial distributions of physical features to compare amino acid environments and align amino acid sequences.

L Wei1, R B Altman, J T Chang.   

Abstract

We have performed a comprehensive analysis of the microenvironments surrounding the twenty amino acids. Our analysis includes comparison of amino acid environments with random control environments as well as with each of the other amino acid environments. We describe the amino acid environments with a set of 21 features summarizing atomic, chemical group, residue, and secondary structural features. The environments are divided into radial shells of 1 A thickness to represent the distance of the features from the amino acid C beta atoms. We make the results of our analysis available graphically over the world wide web. To illustrate the validity and utility of our analysis, we used the amino acid comparative profiles to construct a substitution matrix, the WAC matrix, based on a simple summary of the computed environmental differences. We compared our matrix to BLOSUM62 and PAM250 in BLAST searches with query sequences selected from 39 protein families found in the PROSITE database. Although BLOSUM62 was the most sensitive matrix overall, our matrix was more sensitive for some families, and exhibited overall performance similar to PAM250. Our results suggest that the radial distribution of biochemical and biophysical features is useful for comparing amino acid environments, and that similarity matrices based on the geometric distribution of features around amino acids may produce improved search sensitivity.

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Year:  1997        PMID: 9390315

Source DB:  PubMed          Journal:  Pac Symp Biocomput        ISSN: 2335-6928


  17 in total

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2.  Microenvironment analysis and identification of magnesium binding sites in RNA.

Authors:  D Rey Banatao; Russ B Altman; Teri E Klein
Journal:  Nucleic Acids Res       Date:  2003-08-01       Impact factor: 16.971

3.  Predicting allosteric communication in myosin via a pathway of conserved residues.

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4.  Binding site matching in rational drug design: algorithms and applications.

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6.  Relating Essential Proteins to Drug Side-Effects Using Canonical Component Analysis: A Structure-Based Approach.

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7.  Catalytic residues in hydrolases: analysis of methods designed for ligand-binding site prediction.

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8.  Dynamical persistence of active sites identified in maltose-binding protein.

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Journal:  J Mol Model       Date:  2017-04-27       Impact factor: 1.810

9.  Predicting DNA-binding specificities of eukaryotic transcription factors.

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Journal:  PLoS One       Date:  2010-11-30       Impact factor: 3.240

10.  Considerations of Protein Subpockets in Fragment-Based Drug Design.

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Journal:  Chem Biol Drug Des       Date:  2015-08-31       Impact factor: 2.817

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