Prediction of drug sensitivity in individuals with atypical serum cholinesterase based on in vitro biochemical studies

Vmax and Km values with twenty-five "atypical" and thirty-seven "usual" cholinesterase human sera were determined for the cholinesterase substrates procaine, tetracaine, benzoylcholine, o-nitro-phenylbutyrate, [alpha]-naphthylacetate and aspirin. Aspirin was demonstrated to be a substrate for serum cholinesterase. For each of these substrates the ratio of Vmax substrate to Vmax benzoylcholine was found to be similar with atypical and usual cholinesterase sera. Therefore, we concluded that the respective turnover numbers for atypical and usual cholinesterase were the same. Both atypical and usual cholinesterase sera had turnover numbers of 255 min-1 for procaine, 74 min-1 for tetracaine, 7200 min-1 for aspirin in the presence of 50 mM CaCl2 36,000 min-1 for [alpha]-naphthylacetate, and 48,000 min-1 for o-nitrophenylbutyrate, at 25[deg] in 0.1 M Tris-Cl buffer, pH 7.4. A comparison of Km values for atypical and usual cholinesterase indicated that the positively charged substrates, as well as aspirin in the presence of CaCl2, showed a lower affinity with atypical than with usual cholinesterase, while neutral esters had nearly the same Km for atypical and usual cholinesterase. These results imply that individuals with atypical cholinesterase will hydrolyze therapeutic doses of positively charged substrates and aspirin at reduced rates, but neutral substrates should be hydrolyzed at normal rates.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/24348/1/0000615.pd

The CARMEN software as a service infrastructure

The CARMEN platform allows neuroscientists to share data, metadata, services and workflows, and to execute these services and workflows remotely via a Web portal. This paper describes how we implemented a service-based infrastructure into the CARMEN Virtual Laboratory. A Software as a Service framework was developed to allow generic new and legacy code to be deployed as services on a heterogeneous execution framework. Users can submit analysis code typically written in Matlab, Python, C/C++ and R as non-interactive standalone command-line applications and wrap them as services in a form suitable for deployment on the platform. The CARMEN Service Builder tool enables neuroscientists to quickly wrap their analysis software for deployment to the CARMEN platform, as a service without knowledge of the service framework or the CARMEN system. A metadata schema describes each service in terms of both system and user requirements. The search functionality allows services to be quickly discovered from the many services available. Within the platform, services may be combined into more complicated analyses using the workflow tool. CARMEN and the service infrastructure are targeted towards the neuroscience community; however, it is a generic platform, and can be targeted towards any discipline

Proceedings of the Thirteenth International Society of Sports Nutrition (ISSN) Conference and Expo

Meeting Abstracts: Proceedings of the Thirteenth International Society of Sports Nutrition (ISSN) Conference and Expo Clearwater Beach, FL, USA. 9-11 June 201

Performance dashboards : Measuring, monitoring, and managing your business

New Jerseyxviii, 301 p.; app., gloss., ind.; 23 c