We employed quantitative trait locus (QTL) mapping to dissect the genetic architecture of a hierarchy of functionally related physiological traits, including metabolic enzyme activity, metabolite storage, metabolic rate, and free-flight performance in recombinant inbred lines of Drosophila melanogaster. We identified QTL underlying variation in glycogen synthase, hexokinase, phosphoglucomutase,...

We analyzed pancreatic enzyme data from 508 patients with suspected pancreatitis by neural network analysis, by an Expert multirule generation protocol, and by receiver-operator characteristic (ROC) curve analysis of a single test result. Neural network analysis showed that use of lipase provided the best means for diagnosing pancreatitis. Diagnostic accuracies achieved by using amylase only, l...

An important goal of medical research is to develop methods to recover the loss of cellular function due to mutations and other defects. Many approaches based on gene therapy aim to repair the defective gene or to insert genes with compensatory function. Here, we propose an alternative, network-based strategy that aims to restore biological function by forcing the cell to either bypass the func...

background: little in known regarding the clinical relevance of sirt1 in multiple sclerosis (ms).   here, we aimed to evaluate mrna expression, protein level and enzyme activity of sirt1 in peripheral blood mononuclear cells (pbmcs) isolated from relapsing –remitting ms patients (rrms) and healthy controls. materials and methods: twenty patients with rr-ms and twenty two age- and sex-matched he...

To understand the behaviour of complex systems, it is often necessary to use models that describe the dynamics of subnetworks. It has previously been established using projection methods that such subnetwork dynamics generically involves memory of the past and that the memory functions can be calculated explicitly for biochemical reaction networks made up of unary and binary reactions. However,...

We propose a neural network model, having a reductive and reproductive topology to find the optimal predictive timing and then demonstrate to improve enzyme functional classification. The model is similar to the ordinary multi-layered network, except that it has rules to decrease and increase the hidden layer units according to the evaluated network performance during the predictive procedure. ...