tailieunhanh - Báo cáo y học: "Improved methods for the mathematically controlled comparison of biochemical systems"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: Improved methods for the mathematically controlled comparison of biochemical systems | Theoretical Biology and Medical Modelling BioMed Central Research Open Access Improved methods for the mathematically controlled comparison of biochemical systems John H Schwacke and Eberhard O Voit Address Department of Biometry Bioinformatics and Epidemiology Medical University of South Carolina 135 Cannon Street Suite 303 Charleston SC 29425 Email John H Schwacke - schwacke@ Eberhard O Voit - voiteo@ Corresponding author Published 04 June 2004 Received 18 May 2004 Theoretical Biology and Medical Modelling 2004 1 1 doi 1742-4682-1-1 Accepted 04 June 2004 This article is available from http content l l l 2004 Schwacke and Voit licensee BioMed Central Ltd. This is an Open Access article verbatim copying and redistribution of this article are permitted in all media for any purpose provided this notice is preserved along with the article s original URL. Abstract The method of mathematically controlled comparison provides a structured approach for the comparison of alternative biochemical pathways with respect to selected functional effectiveness measures. Under this approach alternative implementations of a biochemical pathway are modeled mathematically forced to be equivalent through the application of selected constraints and compared with respect to selected functional effectiveness measures. While the method has been applied successfully in a variety of studies we offer recommendations for improvements to the method that l relax requirements for definition of constraints sufficient to remove all degrees of freedom in forming the equivalent alternative 2 facilitate generalization of the results thus avoiding the need to condition those findings on the selected constraints and 3 provide additional insights into the effect of selected constraints on the functional effectiveness measures. We present improvements to the method and related statistical models apply the method to a previously conducted comparison of network .