86 research outputs found

    A structural annotation resource for the selection of putative target proteins in the malaria parasite

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    <p>Abstract</p> <p>Background</p> <p>Protein structure plays a pivotal role in elucidating mechanisms of parasite functioning and drug resistance. Moreover, protein structure aids the determination of protein function, which can together with the structure be used to identify novel drug targets in the parasite. However, various structural features in <it>Plasmodium falciparum </it>proteins complicate the experimental determination of protein structures. Limited similarity to proteins in the Protein Data Bank and the shortage of solved protein structures in the malaria parasite necessitate genome-scale structural annotation of <it>P. falciparum </it>proteins. Additionally, the annotation of a range of structural features facilitates the identification of suitable targets for experimental and computational studies.</p> <p>Methods</p> <p>An integrated structural annotation system was developed and applied to <it>P. falciparum</it>, <it>Plasmodium vivax </it>and <it>Plasmodium yoelii</it>. The annotation included searches for sequence similarity, patterns and domains in addition to the following predictions: secondary structure, transmembrane helices, protein disorder, low complexity, coiled-coils and small molecule interactions. Subsequently, candidate proteins for further structural studies were identified based on the annotated structural features.</p> <p>Results</p> <p>The annotation results are accessible through a web interface, enabling users to select groups of proteins which fulfil multiple criteria pertaining to structural and functional features <abbrgrp><abbr bid="B1">1</abbr></abbrgrp>. Analysis of features in the <it>P. falciparum </it>proteome showed that protein-interacting proteins contained a higher percentage of predicted disordered residues than non-interacting proteins. Proteins interacting with 10 or more proteins have a disordered content concentrated in the range of 60–100%, while the disorder distribution for proteins having only one interacting partner, was more evenly spread.</p> <p>Conclusion</p> <p>A series of <it>P. falciparum </it>protein targets for experimental structure determination, comparative modelling and <it>in silico </it>docking studies were putatively identified. The system is available for public use, where researchers may identify proteins by querying with multiple physico-chemical, sequence similarity and interaction features.</p

    Metabolic reconstruction of sulfur assimilation in the extremophile Acidithiobacillus ferrooxidans based on genome analysis

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    BACKGROUND: Acidithiobacillus ferrooxidans is a gamma-proteobacterium that lives at pH2 and obtains energy by the oxidation of sulfur and iron. It is used in the biomining industry for the recovery of metals and is one of the causative agents of acid mine drainage. Effective tools for the study of its genetics and physiology are not in widespread use and, despite considerable effort, an understanding of its unusual physiology remains at a rudimentary level. Nearly complete genome sequences of A. ferrooxidans are available from two public sources and we have exploited this information to reconstruct aspects of its sulfur metabolism. RESULTS: Two candidate mechanisms for sulfate uptake from the environment were detected but both belong to large paralogous families of membrane transporters and their identification remains tentative. Prospective genes, pathways and regulatory mechanisms were identified that are likely to be involved in the assimilation of sulfate into cysteine and in the formation of Fe-S centers. Genes and regulatory networks were also uncovered that may link sulfur assimilation with nitrogen fixation, hydrogen utilization and sulfur reduction. Potential pathways were identified for sulfation of extracellular metabolites that may possibly be involved in cellular attachment to pyrite, sulfur and other solid substrates. CONCLUSIONS: A bioinformatic analysis of the genome sequence of A. ferrooxidans has revealed candidate genes, metabolic process and control mechanisms potentially involved in aspects of sulfur metabolism. Metabolic modeling provides an important preliminary step in understanding the unusual physiology of this extremophile especially given the severe difficulties involved in its genetic manipulation and biochemical analysis

    Initial sequencing and analysis of the human genome

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    The human genome holds an extraordinary trove of information about human development, physiology, medicine and evolution. Here we report the results of an international collaboration to produce and make freely available a draft sequence of the human genome. We also present an initial analysis of the data, describing some of the insights that can be gleaned from the sequence.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/62798/1/409860a0.pd

    Cardiovascular risk profile and outcome of patients with abdominal aortic aneurysm in out-patients with atherothrombosis: data from the Reduction of Atherothrombosis for Continued Health (REACH) Registry.

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    OBJECTIVE: Datasets regarding patients with abdominal aortic aneurysm (AAA) have almost universally been restricted to single geographic regions. We aimed to obtain data on the risk factor profile and cardiovascular (CV) co-morbidity among multi-ethnic patients with known AAA in the global REACH (REduction of Atherothrombosis for Continued Health) Registry. METHODS:The REACH Registry is an international, prospective, observational out-patient registry enrolling out-patients >/=45 years of age with established coronary artery disease (CAD), cerebrovascular disease (CVD) or peripheral arterial disease (PAD) or with at least three atherothrombotic risk factors. This report includes observations pertaining to 68,236 out-patients enrolled in 44 countries. MAIN OUTCOME MEASURES: Gender, ethnic origin, CV risk factors, established atherosclerotic disease (CAD, CVD and PAD) at baseline, and CV outcome events at 1-year were compared in patients with and without AAA. RESULTS:An AAA was reported in 1722 (2.5%) of 68,236 out-patients enrolled in the REACH Registry. Older age (73 +/- 8 vs 68 +/- 10, P < .0001), male gender (81% vs 63%, P < .0001), White ethnicity (79% vs 67%, P < .0001) and a history of smoking (81% vs 55%, P < .0001) were independently related to the diagnosis of AAA. There was a weaker association with hypertension or hypercholesterolemia, and an inverse relation with diabetes. Fatal and non-fatal coronary and cerebrovascular event rates were not different between the AAA and non-AAA cohorts, but individuals with AAA suffered increased rates of other cardiovascular deaths (1.39% vs 0.94%, P = .0135), hospitalizations for atherothrombotic events (14.1% vs 9.3%, P < .0001) due to increased rates of revascularization procedures, and new or worsening PAD (3.7% vs 1.3%, P < .0001) at 1-year follow-up. CONCLUSION:This study, the largest published to date, presents the CV risk profile and outcome of patients with an established diagnosis of AAA from a cohort of patients with either overt manifestations of CV disease or multiple risk factors, and further defines these patients in a multi-ethnic, global context
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