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An interactive visualization tool to explore the biophysical properties of amino acids and their contribution to substitution matrices

dc.contributor.authorBulka, Blazej
dc.contributor.authordesJardins, Marie
dc.contributor.authorFreeland, Stephen J.
dc.date.accessioned2023-07-18T20:03:19Z
dc.date.available2023-07-18T20:03:19Z
dc.date.issued2006-07-03
dc.description.abstractBackground: Quantitative descriptions of amino acid similarity, expressed as probabilistic models of evolutionary interchangeability, are central to many mainstream bioinformatic procedures such as sequence alignment, homology searching, and protein structural prediction. Here we present a web-based, user-friendly analysis tool that allows any researcher to quickly and easily visualize relationships between these bioinformatic metrics and to explore their relationships to underlying indices of amino acid molecular descriptors. Results: We demonstrate the three fundamental types of question that our software can address by taking as a specific example the connections between 49 measures of amino acid biophysical properties (e.g., size, charge and hydrophobicity), a generalized model of amino acid substitution (as represented by the PAM74-100 matrix), and the mutational distance that separates amino acids within the standard genetic code (i.e., the number of point mutations required for interconversion during protein evolution). We show that our software allows a user to recapture the insights from several key publications on these topics in just a few minutes. Conclusion: Our software facilitates rapid, interactive exploration of three interconnected topics: (i) the multidimensional molecular descriptors of the twenty proteinaceous amino acids, (ii) the correlation of these biophysical measurements with observed patterns of amino acid substitution, and (iii) the causal basis for differences between any two observed patterns of amino acid substitution. This software acts as an intuitive bioinformatic exploration tool that can guide more comprehensive statistical analyses relating to a diverse array of specific research questions.en_US
dc.description.sponsorshipThe authors would like to thank the members of their research groups (Freeland Lab and MAPLE Lab) for their comments and support. This work was funded in part by NSF grant DBI-0317349-001. The tool described here contains software developed by TouchGraph LLC http://www.touchgraph.com/.en_US
dc.description.urihttps://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-7-329en_US
dc.format.extent9 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m23bog-h8mh
dc.identifier.citationBulka, B., desJardins, M. & Freeland, S.J. An interactive visualization tool to explore the biophysical properties of amino acids and their contribution to substitution matrices. BMC Bioinformatics 7, 329 (2006). https://doi.org/10.1186/1471-2105-7-329en_US
dc.identifier.urihttps://doi.org/10.1186/1471-2105-7-329
dc.identifier.urihttp://hdl.handle.net/11603/28757
dc.language.isoen_USen_US
dc.publisherBMCen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Biological Sciences Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department
dc.relation.ispartofUMBC Individualized Study Program (INDS)
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.en_US
dc.rightsAttribution 2.0 Generic (CC BY 2.0)*
dc.rights.urihttps://creativecommons.org/licenses/by/2.0/*
dc.titleAn interactive visualization tool to explore the biophysical properties of amino acids and their contribution to substitution matricesen_US
dc.typeTexten_US

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