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Bioinformatic Analyses of Transmembrane Transport: Novel Software for Deducing Protein Phylogeny, Topology, and Evolution
Author(s) -
Ming Ren Yen,
Jeehye Choi,
Milton H. Saier
Publication year - 2009
Publication title -
microbial physiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.404
H-Index - 79
eISSN - 2673-1673
pISSN - 2673-1665
DOI - 10.1159/000239667
Subject(s) - computational biology , genome , transmembrane protein , biology , dna sequencing , data science , evolutionary biology , computer science , gene , genetics , receptor
During the past decade, we have experienced a revolution in the biological sciences resulting from the flux of information generated by genome-sequencing efforts. Our understanding of living organisms, the metabolic processes they catalyze, the genetic systems encoding cellular protein and stable RNA constituents, and the pathological conditions caused by some of these organisms has greatly benefited from the availability of complete genomic sequences and the establishment of comprehensive databases. Many research institutes around the world are now devoting their efforts largely to genome sequencing, data collection and data analysis. In this review, we summarize tools that are in routine use in our laboratory for characterizing transmembrane transport systems. Applications of these tools to specific transporter families are presented. Many of the computational approaches described should be applicable to virtually all classes of proteins and RNA molecules.

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