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Serge Cohen

Publications and source records attributed to Serge Cohen.

3 recordsLinked to original sources

Correlation between the Framingham risk score and intima media thickness: the Paroi Artérielle et Risque Cardio-vasculaire (PARC) study.

AIMS: Carotid intima media thickness (IMT) is associated with an increased risk of cardio-vascular events, but its correlation with the absolute cardio-vascular risk is not well known in large populations. The Paroi Artérielle et Risque Cardio-vasculaire (PARC) study was designed to evaluate the relationship between conventional assessment of the global cardio-vascular risk by means of the Framimgham score and measurement of IMT of the common carotid artery (CCAIMT). METHODS AND RESULTS: About 246 French cardiologists selected 6416 subjects. CCAIMT measurements were performed using a specific methodology designed to harmonize the acquisition and processing of B-mode ultrasound images. The Framingham cardio-vascular score was determined for each individual. The relationship between CCAIMT and Framingham scores was evaluated using linear or polynomial models of regression. We found a significant correlation between CCAIMT and all components of the Framingham score (p < 0.005 for all parameters). The Framingham score and CCAIMT values were non-linearly related (coefficients of determination R2 were 19% and 20% in men, 28% and 29% in women, for subjects with and without personal history of cardio-vascular disease, respectively). The younger the subjects, the steeper the relationship, when the analysis was performed according to decades. CONCLUSIONS: The Framingham score and CCAIMT values were significantly correlated. However variations in CCAIMT only explained a modest part of the Framingham score and vice versa.

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Developments in the CCP4 molecular-graphics project.

Progress towards structure determination that is both high-throughput and high-value is dependent on the development of integrated and automatic tools for electron-density map interpretation and for the analysis of the resulting atomic models. Advances in map-interpretation algorithms are extending the resolution regime in which fully automatic tools can work reliably, but at present human intervention is required to interpret poor regions of macromolecular electron density, particularly where crystallographic data is only available to modest resolution [for example, I/sigma(I) < 2.0 for minimum resolution 2.5 A]. In such cases, a set of manual and semi-manual model-building molecular-graphics tools is needed. At the same time, converting the knowledge encapsulated in a molecular structure into understanding is dependent upon visualization tools, which must be able to communicate that understanding to others by means of both static and dynamic representations. CCP4 mg is a program designed to meet these needs in a way that is closely integrated with the ongoing development of CCP4 as a program suite suitable for both low- and high-intervention computational structural biology. As well as providing a carefully designed user interface to advanced algorithms of model building and analysis, CCP4 mg is intended to present a graphical toolkit to developers of novel algorithms in these fields.

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Breaking good resolutions with ARP/wARP.

New procedures are outlined that enable ARP/wARP to automatically build protein models with diffraction data extending to about 2.5 A. An overview of ongoing research is given and possible future advances are discussed.

Algorithms↗