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In a series of previous reports it was established by implementing metabolic flux, NMR/MS, and Northern blot analysis that the glyoxylate shunt, the TCA cycle, and acetate uptake by acetyl-CoA synthetase are more active in Escherichia coli BL21 than in Escherichia coli JM109. These differences were accepted as the reason for the differences in the glucose(More)
AIM Medulloblastoma is a malignant brain tumor that occurs predominantly in children. Current risk stratification based on clinical parameters is inadequate for accurate prognostication. MicroRNA expression is known to be deregulated in various cancers and has been found to be useful in predicting tumor behavior. In order to get a better understanding of(More)
The analysis of metabolic differences in bacterial strains is a useful tool for the development of strains with desired growth and production properties. Several methods are available for the evaluation and understanding of the differences: Biochemical methods to measure metabolites concentration and enzyme activity, mathematical methods to analyze(More)
Cra is a pleiotropic regulatory protein that controls carbon and energy flux in enteric bacteria. Recent studies have shown that Cra also regulates other cell processes and influences biofilm formation. The purpose of the present study was to investigate the role of Cra in biofilm formation in Escherichia coli. Congo red-binding studies suggested that curli(More)
Biological processes are fundamentally driven by complex interactions between biomolecules. Integrated high-throughput omics studies enable multifaceted views of cells, organisms, or their communities. With the advent of new post-genomics technologies, omics studies are becoming increasingly prevalent; yet the full impact of these studies can only be(More)
Database-assisted ab initio protein structure prediction methods have exhibited considerable promise in the recent past, with several implementations being successful in community-wide experiments (CASP). We have employed combinatorial optimization techniques toward solving the protein structure prediction problem. A Monte Carlo minimization algorithm has(More)
The heterogeneity and poor prognosis associated with gliomas, makes biomarker identification imperative. Here, we report autoantibody signatures across various grades of glioma serum samples and sub-categories of glioblastoma multiforme using Human Proteome chips containing ~17000 full-length human proteins. The deduced sets of classifier proteins helped to(More)
The aim of the study was to increase production of (R)-PAC by altering carboligation activity of Pdc in Saccharomyces cerevisiae. Pdc1 activity was modified by over-expression as well as changing the rate of decarboxylation and carboligation by site specific mutation in Pdc1. Over-expression of mutant Pdc1 resulted in 50 ± 2.5% increase in levels of (R)-PAC(More)
Identification of driver mutations can lead to a better understanding of the molecular mechanisms associated with cancer. This can be a first step towards developing diagnostic and prognostic markers. Various driver mutation prediction tools rely on different algorithm for prediction and hence there is little consensus in the predictions. The input and(More)
Pyruvate decarboxylases (PDCs) are a class of enzymes which carry out the non-oxidative decarboxylation of pyruvate to acetaldehyde. These enzymes are also capable of carboligation reactions and can generate chiral intermediates of substantial pharmaceutical interest. Typically, the decarboxylation and carboligation processes are carried out using whole(More)