Learn More
The solventogenic bacterium Clostridium acetobutylicum is an important species of the Clostridium community. To develop a fundamental tool that is useful for biological studies of C. acetobutylicum, we established a high resolution proteome reference map for this species. We identified 1206 spots representing 564 different proteins by mass spectrometry,(More)
Different geometries of nitromethane dimer and nitromethane trimer have been fully optimized employing the density functional theory B3LYP method and the 6-31++G** basis set. Three-body interaction energy has been obtained with the ab initio supermolecular approach at the levels of MP2/6-31++G**//B3LYP/6-31++G** and MP2/aug-cc-pVDZ//B3LYP/6-31++G**. The(More)
Transcriptional specificity in low-G+C Gram-positive bacteria is maintained by RpoE, the delta subunit of the RNA polymerase. Here, we studied the effect of RpoE at the proteome level in the human dental pathogen Streptococcus mutans by comparing the ΔrpoE mutant with the wild-type under five conditions: (0) exponential growth, (1) early stationary phase,(More)
Paenibacillus polymyxa can produce the (R,R)-stereoisomer of 2,3-butanediol (2,3-BDL) which is industrially very useful. Two important factors affecting (R,R)-BDL production by P. polymyxa ATCC 12321, medium composition, and addition of acetic acid to the culture were investigated in this study with accompanying comparative proteomic analysis. For this(More)
Streptococcus mutans is considered to be the most cariogenic organism. Carolacton, isolated from the myxobacterium Sorangium cellulosum, shows the ability to disturb S. mutans biofilm viability that makes it a potential anti-biofilm drug. However, the molecular mechanism of carolacton remains to be elucidated. In order to use proteomics to characterize the(More)
An optimization strategy based on desirability function approach (DFA) together with response surface methodology (RSM) has been used to optimize production medium in L-glutamine fermentation. Fermentation problems often force to reach a compromise between different experimental variables in order to achieve the most suitable strategy applying in industrial(More)
Grounded on linear ordinary differential formulation, we propose an optimization model for inferring gene regulatory networks, which integrates with not only the sparsity principle of gene networks but also some extra priori knowledge between two genes that can be found in existing publications or biological web sites. The model is applied to an artificial(More)
An experimental platform for solidification of undercooled melt and synchronous measurement of magnetization under strong magnetic field is reported. The facility can be used for in-situ measurement of the magnetization of the undercooled melts and to studying the non-equilibrium solidification from deeply undercooled metals and alloys in magnetic field.(More)
Dimension problem is the main difficulty in inferring gene regulatory networks and has not been solved in substance. Grounded on linear ordinary differential equation, we propose a simple optimization model for achieving sparseness for the derived gene regulatory networks. The model is applied to gene expression profile data related to breast cancer(More)