62 research outputs found

    Chemical review and studies related to species from the genus Tynanthus (Bignoniaceae)

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    Species from the Bignoniaceae Family, including the genus Tynanthus, are very prevalent in the tropical Americas, with specimens found in a large part of the Brazilian territory. These plants are commonly used in traditional medicine for several purposes, and some studies have described their chemical structure, in addition to other reports related to some species from this genus. This review aimed to gather information from published works concerning species of the genus Tynanthus, as well as to detect flaws in research related to these plants, which may have great biological and pharmaceutical importance. Also, this review points out some common chemical characteristics of these species, providing information that may help new researchers to improve their knowledge about these plants

    Taxonomic synopsis and analytical key for the genera of Solanaceae from Rio Grande do Sul, Brazil

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    The biology of non-weedy hemiparasiticOrobanchaceae: An introduction

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    Exact-IEBP: A New Technique For Estimating Evolutionary Distances Between Whole Genomes

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    Evolution operates on whole genomes by operations that change the order and strandedness of genes within the genomes. This type of data presents new opportunities for discoveries about deep evolutionary rearrangement events, provided that suciently accurate methods can be developed to reconstruct evolutionary trees in these models [3, 11, 13, 18]. A necessary component of any such method is the ability to accurately estimate the true evolutionary distance between two genomes, which is the number of rearrangement events that took place in the evolutionary history between them. We improve the technique (IEBP) in [21] with a new method, Exact-IEBP, for estimating the true evolutionary distance between two signed genomes. Our simulation study shows Exact-IEBP is a better estimation of true evolutionary distances. Furthermore, Exact-IEBP produces more accurate trees than IEBP when used with the popular distance-based method, neighbor joining [16]
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