NeuroReport 19:1151-1154 (C) 2008 Wolters Kluwer Health vertical bar Lippincott Williams & Wilkins.”
“In principle the knowledge of an organism’s metabolic check details network allows to infer its biosynthetic capabilities. Handorf
et al. [2005. Expanding metabolic networks: scopes of compounds, robustness, and evolution. J. Mol. Evol. 61, 498-512] developed a method of network expansion generating the set of all possible metabolites that can be produced from a set of compounds, given the structure of a metabolic network. Here we investigate the inverse problem: which chemical compounds or sets of compounds must be provided as external resources in order to sustain the growth or maintenance of an organism, given the structure of its metabolic network? Although this problem is highly combinatorial, Gemcitabine we show that it is possible to calculate locally minimal nutrient sets that can be interpreted in terms of resource types. Using these types
we predict broad nutritional requirements for 447 organisms, providing clues for possible environments from the knowledge of their metabolic networks. (c) 2007 Elsevier Ltd. All rights reserved.”
“The methionine variant of Va166Met brain-derived neurotrophic factor (BDNFmet) and catecholamine-O-methyltransferase (COMTL) is associated with a deficit in attention and aggravation of delusions in schizophrenia. We hypothesized that the BDNF-COMT gene interaction would affect the symptoms and cognition in schizophrenia. Ninety-six schizophrenic patients and 79 control participants were recruited. The patients who were BDNFmet/met x COMTL carriers PLEK2 had the highest scores of delusion of Positive Symptoms and the Scale for Assessment of Negative Symptoms,
word reading of the color word test, and trail-making test B time, compared with the other three genotype interactions. The current results suggest that patients with the BDNFmet/met x COMTL allele had more delusional symptoms and poorer cognitive flexibility, compared with the other three genotype interactions. NeuroReport 19:1155-1158 (C) 2008 Wolters Kluwer Health vertical bar Lippincott Williams & Wilkins.”
“Metabolic control analysis, co-invented by Reinhart Heinrich, is a formalism for the analysis of biochemical networks, and is a highly important intellectual forerunner of modern systems biology. Exchanging ideas and exchanging models are part of the international activities of science and scientists, and the Systems Biology Markup Language (SBML) allows one to perform the latter with great facility. Encoding such models in SBML allows their distributed analysis using loosely coupled workflows, and with the advent of the Internet the various software modules that one might use to analyze biochemical models can reside on entirely different computers and even on different continents.