Publications by authors named "Tara McIntosh"

The 11S globulin cruciferin is the major storage protein in Brassicaceae/Cruciferae seeds and exists as a hexamer in its natural configuration. Arabidopsis thaliana cruciferin is composed of CRUA, CRUB and CRUC subunits. Wild type (WT) cruciferin and cruciferins composed only of identical CRUA, CRUB and CRUC subunits were examined for their ability to form and stabilize oil-in-water (o/w) emulsions.

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The two major storage proteins identified in Brassica napus (canola) were isolated and studied for their molecular composition, structural characteristics and the responses of structural features to the changes in pH and temperature. Cruciferin, a complex of six monomers, has a predominantly β-sheet-containing secondary structure. This protein showed low pH unstable tertiary structure, and distinctly different solubility behaviour with pH when intact in the seed cellular matrix.

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This study investigated the structural stability of yellow mustard (YM, Sinapis alba L.) napin and the changes of its Sin a 1 anti-epitope antibody-binding ability during myrosinase enzyme inactivation process. The food industry uses myrosinase-inactive non-pungent YM for uses beyond spice applications.

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Heteromeric cruciferin from wild type (WT) Arabidopsis thaliana and homomeric cruciferin CRUA, CRUB, and CRUC composed of identical subunits obtained from double-knockout mutant lines were investigated for their structural and physicochemical properties. A three-step chromatographic procedure allowed isolation of intact cruciferin hexamers with high purity (>95%). FT-IR and CD analysis of protein secondary structure composition revealed that all cruciferins were folded into higher order structures consisting of 44-50% β-sheets and 7-9% α-helices.

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This article introduces the Variome Annotation Schema, a schema that aims to capture the core concepts and relations relevant to cataloguing and interpreting human genetic variation and its relationship to disease, as described in the published literature. The schema was inspired by the needs of the database curators of the International Society for Gastrointestinal Hereditary Tumours (InSiGHT) database, but is intended to have application to genetic variation information in a range of diseases. The schema has been applied to a small corpus of full text journal publications on the subject of inherited colorectal cancer.

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Background: The increasing availability of full-text biomedical articles will allow more biomedical knowledge to be extracted automatically with greater reliability. However, most Information Retrieval (IR) and Extraction (IE) tools currently process only abstracts. The lack of corpora has limited the development of tools that are capable of exploiting the knowledge in full-text articles.

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High confidence rule mining for microarray analysis.

IEEE/ACM Trans Comput Biol Bioinform

January 2008

We present an association rule mining method for mining high confidence rules, which describe interesting gene relationships from microarray datasets. Microarray datasets typically contain an order of magnitude more genes than experiments, rendering many data mining methods impractical as they are optimised for sparse datasets. A new family of row-enumeration rule mining algorithms have emerged to facilitate mining in dense datasets.

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A calcium-soluble protein isolate (CSPI) was prepared from the supernatant obtained after addition of 0.75 M calcium chloride to a pH 5.0 aqueous extract of yellow mustard (Sinapis alba) seed meal.

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