The Experts below are selected from a list of 205773 Experts worldwide ranked by ideXlab platform
Michael J.e. Sternberg - One of the best experts on this subject based on the ideXlab platform.
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Enhancement of protein modeling by Human Intervention in applying the automatic programs 3D-JIGSAW and 3D-PSSM
Proteins: Structure Function and Genetics, 2001Co-Authors: Paul A. Bates, Lawrence A. Kelley, R M Maccallum, Michael J.e. SternbergAbstract:Fourteen models were constructed andanalyzedfor the comparative modeling sectionof Critical Assessment of Techniques for Protein Structure Prediction (CASP4). Sequence identity between each target and the best possible parent(s) ranged between 55 and 13%, and the root-mean-square deviation between model and target was from0.8 to 17.9 Å. In the fold recognition section, 10 of the 11 remote homologues were recognized. The modeling protocols areacombinationof automatedcomputer algorithms, 3D-JIGSAW(for comparativemodeling) and3D-PSSM (for fold recognition), with Human Intervention at certain critical stages. In particular, Intervention is required to check superfamily assignment, best possible parents from which to model, sequence alignments tothose parents andtake-off regions for modeling variable regions. There now is a convergence of algorithms for comparative modeling and fold recognition, particularly in the region of remote homology.
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enhancement of protein modeling by Human Intervention in applying the automatic programs 3d jigsaw and 3d pssm
Proteins, 2001Co-Authors: Paul A. Bates, Lawrence A. Kelley, R M Maccallum, Michael J.e. SternbergAbstract:Fourteen models were constructed and analyzed for the comparative modeling section of Critical Assessment of Techniques for Protein Structure Prediction (CASP4). Sequence identity between each target and the best possible parent(s) ranged between 55 and 13%, and the root-mean-square deviation between model and target was from 0.8 to 17.9 A. In the fold recognition section, 10 of the 11 remote homologues were recognized. The modeling protocols are a combination of automated computer algorithms, 3D-JIGSAW (for comparative modeling) and 3D-PSSM (for fold recognition), with Human Intervention at certain critical stages. In particular, Intervention is required to check superfamily assignment, best possible parents from which to model, sequence alignments to those parents and take-off regions for modeling variable regions. There now is a convergence of algorithms for comparative modeling and fold recognition, particularly in the region of remote homology. Proteins 2001;Suppl 5:39–46. © 2002 Wiley-Liss, Inc.
Julie A Lovegrove - One of the best experts on this subject based on the ideXlab platform.
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the effects of dietary nitrate on blood pressure and endothelial function a review of Human Intervention studies
Nutrition Research Reviews, 2013Co-Authors: Ditte A Hobbs, Trevor George, Julie A LovegroveAbstract:Evidence has accumulated in recent years that suggests that nitrate from the diet, particularly vegetables, is capable of producing bioactive NO in the vasculature, following bioconversion to nitrite by oral bacteria. The aim of the present review was to consider the current body of evidence for potential beneficial effects of dietary nitrate on blood pressure and endothelial function, with emphasis on evidence from acute and chronic Human Intervention studies. The studies to date suggest that dietary nitrate acutely lowers blood pressure in healthy Humans. An inverse relationship was seen between dose of nitrate consumed and corresponding systolic blood pressure reduction, with doses of nitrate as low as 3 mmol of nitrate reducing systolic blood pressure by 3 mmHg. Moreover, the current studies provide some promising evidence on the beneficial effects of dietary nitrate on endothelial function. In vitro studies suggest a number of potential mechanisms by which dietary nitrate and its sequential reduction to NO may reduce blood pressure and improve endothelial function, such as: acting as a substrate for endothelial NO synthase; increasing vasodilation; inhibiting mitochondrial reactive oxygen species production and platelet aggregation. In conclusion, the evidence for beneficial effects of dietary nitrate on blood pressure and endothelial function is promising. Further long-term randomised controlled Human Intervention studies assessing the potential effects of dietary nitrate on blood pressure and endothelial function are needed, particularly in individuals with hypertension and at risk of CVD.
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the impact of substituting sfa in dairy products with mufa or pufa on cvd risk evidence from Human Intervention studies
Nutrition Research Reviews, 2012Co-Authors: Katherine M Livingstone, Julie A Lovegrove, Ian D GivensAbstract:With the substantial economic and social burden of CVD, the need to modify diet and lifestyle factors to reduce risk has become increasingly important. Milk and dairy products, being one of the main contributors to SFA intake in the UK, are a potential target for dietary SFA reduction. Supplementation of the dairy cow's diet with a source of MUFA or PUFA may have beneficial effects on consumers' CVD risk by partially replacing milk SFA, thus reducing entry of SFA into the food chain. A total of nine chronic Human Intervention studies have used dairy products, modified through bovine feeding, to establish their effect on CVD risk markers. Of these studies, the majority utilised modified butter as their primary test product and used changes in blood cholesterol concentrations as their main risk marker. Of the eight studies that measured blood cholesterol, four reported a significant reduction in total and LDL-cholesterol (LDL-C) following chronic consumption of modified milk and dairy products. Data from one study suggested that a significant reduction in LDL-C could be achieved in both the healthy and hypercholesterolaemic population. Thus, evidence from these studies suggests that consumption of milk and dairy products with modified fatty acid composition, compared with milk and dairy products of typical milk fat composition, may be beneficial to CVD risk in healthy and hypercholesterolaemic individuals. However, current evidence is insufficient and further work is needed to investigate the complex role of milk and cheese in CVD risk and explore the use of novel markers of CVD risk.
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fruit polyphenols and cvd risk a review of Human Intervention studies
British Journal of Nutrition, 2010Co-Authors: Mary Foongfong Chong, Rory Macdonald, Julie A LovegroveAbstract:Epidemiological evidence suggests that polyphenols may, in part, explain the cardioprotective properties of fruits. This review aims to summarise the evidence for the effects of fruit polyphenols on four risk factors of CVD: platelet function, blood pressure, vascular function and blood lipids. This review includes Human dietary Intervention studies investigating fruits and their polyphenols. There was some evidence to suggest that fruits containing relatively high concentrations of flavonols, anthocyanins and procyanindins, such as pomegranate, purple grapes and berries, were effective at reducing CVD risk factors, particularly with respect to anti-hypertensive effects, inhibition of platelet aggregation and increasing endothelial-dependent vasodilation than other fruits investigated. Flavanone-rich fruits, such as oranges and grapefruits, were reported to have hypocholesterolaemic effects, with little impact on other risk factors being examined. However, the evidence was limited, inconsistent and often inconclusive. This is in part due to the heterogeneity in the design of studies, the lack of controls, the relatively short Intervention periods and low power in several studies. Details of the polyphenol content of the fruits investigated were also omitted in some studies, negating comparison of data. It is recommended that large, well-powered, long-term Human dietary Intervention studies investigating a wider range of fruits are required to confirm these observations. Investigations into the potential synergistic effects of polyphenols on a combination of CVD risk markers, dose-response relationships and standardisation in methodology would facilitate the comparison of studies and also provide valuable information on the types of fruits which could confer protection against CVD.
Paul A. Bates - One of the best experts on this subject based on the ideXlab platform.
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Enhancement of protein modeling by Human Intervention in applying the automatic programs 3D-JIGSAW and 3D-PSSM
Proteins: Structure Function and Genetics, 2001Co-Authors: Paul A. Bates, Lawrence A. Kelley, R M Maccallum, Michael J.e. SternbergAbstract:Fourteen models were constructed andanalyzedfor the comparative modeling sectionof Critical Assessment of Techniques for Protein Structure Prediction (CASP4). Sequence identity between each target and the best possible parent(s) ranged between 55 and 13%, and the root-mean-square deviation between model and target was from0.8 to 17.9 Å. In the fold recognition section, 10 of the 11 remote homologues were recognized. The modeling protocols areacombinationof automatedcomputer algorithms, 3D-JIGSAW(for comparativemodeling) and3D-PSSM (for fold recognition), with Human Intervention at certain critical stages. In particular, Intervention is required to check superfamily assignment, best possible parents from which to model, sequence alignments tothose parents andtake-off regions for modeling variable regions. There now is a convergence of algorithms for comparative modeling and fold recognition, particularly in the region of remote homology.
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enhancement of protein modeling by Human Intervention in applying the automatic programs 3d jigsaw and 3d pssm
Proteins, 2001Co-Authors: Paul A. Bates, Lawrence A. Kelley, R M Maccallum, Michael J.e. SternbergAbstract:Fourteen models were constructed and analyzed for the comparative modeling section of Critical Assessment of Techniques for Protein Structure Prediction (CASP4). Sequence identity between each target and the best possible parent(s) ranged between 55 and 13%, and the root-mean-square deviation between model and target was from 0.8 to 17.9 A. In the fold recognition section, 10 of the 11 remote homologues were recognized. The modeling protocols are a combination of automated computer algorithms, 3D-JIGSAW (for comparative modeling) and 3D-PSSM (for fold recognition), with Human Intervention at certain critical stages. In particular, Intervention is required to check superfamily assignment, best possible parents from which to model, sequence alignments to those parents and take-off regions for modeling variable regions. There now is a convergence of algorithms for comparative modeling and fold recognition, particularly in the region of remote homology. Proteins 2001;Suppl 5:39–46. © 2002 Wiley-Liss, Inc.
Agoston E. Eiben - One of the best experts on this subject based on the ideXlab platform.
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Self-adapting Fitness Evaluation Times for On-line Evolution of Simulated Robots
2013Co-Authors: Cristian M Dinu, Plamen Dimitrov, Agoston E. Eiben, Berend WeelAbstract:This paper is concerned with on-line evolutionary robotics, where robot controllers are being evolved during a robots’ operative time. This approach offers the ability to cope with environmental changes without Human Intervention, but to be effective it needs an automatic parameter control mechanism to adjust the evolutionary algorithm (EA) appropriately. In particular, mutation step sizes (σ) and the time spent on fitness evaluation (τ) have a strong influence on the performance of an EA. In this paper, we introduce and experimentally validate a novel method for self-adapting τ during runtime. The results show that this mechanism is viable: the EA using this self-adaptative control scheme consistently shows decent performance without a priori tuning or Human Intervention during a run
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self adapting fitness evaluation times for on line evolution of simulated robots
Genetic and Evolutionary Computation Conference, 2013Co-Authors: Cristian M Dinu, Plamen Dimitrov, Berend Weel, Agoston E. EibenAbstract:This paper is concerned with \textit{on-line} evolutionary robotics, where robot controllers are being evolved during a robots' operative time. This approach offers the ability to cope with environmental changes without Human Intervention, but to be effective it needs an automatic parameter control mechanism to adjust the evolutionary algorithm (EA) appropriately. In particular, mutation step sizes ($\sigma$) and the time spent on fitness evaluation ($\tau$) have a strong influence on the performance of an EA. In this paper, we introduce and experimentally validate a novel method for self-adapting $\tau$ during runtime. The results show that this mechanism is viable: the EA using this self-adaptative control scheme consistently shows decent performance without a priori tuning or Human Intervention during a run.
Lawrence A. Kelley - One of the best experts on this subject based on the ideXlab platform.
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Enhancement of protein modeling by Human Intervention in applying the automatic programs 3D-JIGSAW and 3D-PSSM
Proteins: Structure Function and Genetics, 2001Co-Authors: Paul A. Bates, Lawrence A. Kelley, R M Maccallum, Michael J.e. SternbergAbstract:Fourteen models were constructed andanalyzedfor the comparative modeling sectionof Critical Assessment of Techniques for Protein Structure Prediction (CASP4). Sequence identity between each target and the best possible parent(s) ranged between 55 and 13%, and the root-mean-square deviation between model and target was from0.8 to 17.9 Å. In the fold recognition section, 10 of the 11 remote homologues were recognized. The modeling protocols areacombinationof automatedcomputer algorithms, 3D-JIGSAW(for comparativemodeling) and3D-PSSM (for fold recognition), with Human Intervention at certain critical stages. In particular, Intervention is required to check superfamily assignment, best possible parents from which to model, sequence alignments tothose parents andtake-off regions for modeling variable regions. There now is a convergence of algorithms for comparative modeling and fold recognition, particularly in the region of remote homology.
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enhancement of protein modeling by Human Intervention in applying the automatic programs 3d jigsaw and 3d pssm
Proteins, 2001Co-Authors: Paul A. Bates, Lawrence A. Kelley, R M Maccallum, Michael J.e. SternbergAbstract:Fourteen models were constructed and analyzed for the comparative modeling section of Critical Assessment of Techniques for Protein Structure Prediction (CASP4). Sequence identity between each target and the best possible parent(s) ranged between 55 and 13%, and the root-mean-square deviation between model and target was from 0.8 to 17.9 A. In the fold recognition section, 10 of the 11 remote homologues were recognized. The modeling protocols are a combination of automated computer algorithms, 3D-JIGSAW (for comparative modeling) and 3D-PSSM (for fold recognition), with Human Intervention at certain critical stages. In particular, Intervention is required to check superfamily assignment, best possible parents from which to model, sequence alignments to those parents and take-off regions for modeling variable regions. There now is a convergence of algorithms for comparative modeling and fold recognition, particularly in the region of remote homology. Proteins 2001;Suppl 5:39–46. © 2002 Wiley-Liss, Inc.
