Electronic Structure of Cytochrome P450

The optical properties of P450 have been investigated by means of polarized absorption spectroscopy of single crystals of camphor- bound P450CAM in the oxidized, reduced, and CO-reduced states, and iterative extended Ruckel (IEH) calculations. The heme chromophores are orientated such that transitions polarized in the heme plane (x,y-polarized) can be readily distinguished from transitions polarized perpendicular to the heme plane (z-polarized) . High spin oxidized P450 exhibits two broad z-polarized bands, at 567 and 323 nm. IEH calculations suggest that these bands arise from cysteine mercaptide sulfur-to-iron charge transfer transitions. High spin reduced P450 has no z-polarized bands. IEH calculations suggest that loss of these bands occurs because the cysteine sulfur is protonated to a mercaptan. Low spin CO-P450 has an intense x,y-polarized band at 363 nm. This transition, assigned as a mercaptide sulfur-to-porphyrin charge transfer transition, has the correct symmetry to mix with the Soret and may cause the anomalous red shift of the Soret

Complete genome sequence of Syntrophobacter fumaroxidans strain (MPOB(T)).

Syntrophobacter fumaroxidans strain MPOB(T) is the best-studied species of the genus Syntrophobacter. The species is of interest because of its anaerobic syntrophic lifestyle, its involvement in the conversion of propionate to acetate, H2 and CO2 during the overall degradation of organic matter, and its release of products that serve as substrates for other microorganisms. The strain is able to ferment fumarate in pure culture to CO2 and succinate, and is also able to grow as a sulfate reducer with propionate as an electron donor. This is the first complete genome sequence of a member of the genus Syntrophobacter and a member genus in the family Syntrophobacteraceae. Here we describe the features of this organism, together with the complete genome sequence and annotation. The 4,990,251 bp long genome with its 4,098 protein-coding and 81 RNA genes is a part of the Microbial Genome Program (MGP) and the Genomes to Life (GTL) Program project

Boolean network model predicts cell cycle sequence of fission yeast

A Boolean network model of the cell-cycle regulatory network of fission yeast (Schizosaccharomyces Pombe) is constructed solely on the basis of the known biochemical interaction topology. Simulating the model in the computer, faithfully reproduces the known sequence of regulatory activity patterns along the cell cycle of the living cell. Contrary to existing differential equation models, no parameters enter the model except the structure of the regulatory circuitry. The dynamical properties of the model indicate that the biological dynamical sequence is robustly implemented in the regulatory network, with the biological stationary state G1 corresponding to the dominant attractor in state space, and with the biological regulatory sequence being a strongly attractive trajectory. Comparing the fission yeast cell-cycle model to a similar model of the corresponding network in S. cerevisiae, a remarkable difference in circuitry, as well as dynamics is observed. While the latter operates in a strongly damped mode, driven by external excitation, the S. pombe network represents an auto-excited system with external damping.Comment: 10 pages, 3 figure

A human MAP kinase interactome.

Mitogen-activated protein kinase (MAPK) pathways form the backbone of signal transduction in the mammalian cell. Here we applied a systematic experimental and computational approach to map 2,269 interactions between human MAPK-related proteins and other cellular machinery and to assemble these data into functional modules. Multiple lines of evidence including conservation with yeast supported a core network of 641 interactions. Using small interfering RNA knockdowns, we observed that approximately one-third of MAPK-interacting proteins modulated MAPK-mediated signaling. We uncovered the Na-H exchanger NHE1 as a potential MAPK scaffold, found links between HSP90 chaperones and MAPK pathways and identified MUC12 as the human analog to the yeast signaling mucin Msb2. This study makes available a large resource of MAPK interactions and clone libraries, and it illustrates a methodology for probing signaling networks based on functional refinement of experimentally derived protein-interaction maps

Regulation of high-affinity leucine transport in escherichia coli

Leucine is transported into E coli by two osmotic shock-sensitive, high-affinity systems (LIV-I and leucine-specific systems) and one membrane bound, low-affinity system (LIV-II). Expression of the high-affinity transport systems is altered by mutations in liv R and 1st R , genes for negatively acting regulatory elements, and by mutations in rho , the gene for transcription termination. All four genes for high-affinity leucine transport ( livJ, livK, livH , and livG ) are closely linked and have been cloned on a plasmid vector, pOX1. Several subcloned fragments of this plasmid have been prepared and used in complementation and regulation studies. The results of these studies suggest that livJ and livK are separated by approximately one kilobase and give a gene order of livJ–livK–livH. livJ and livK appear to be regulated in an interdependent fashion; livK is expressed maximally when the livJ gene is inactivated by mutation or deletion. The results support the existence of separate promoters for the livJ and livK genes. The effects of mutations in the rho and livR genes are additive on one another and therefore appear to be involved in independent regulatory mechanisms. Mutations in the rho gene affect both the LIV-I and leucinespecific transport systems by increasing the expression of livJ and livK , genes for the LIV-specific and leucine-specific binding proteins, respectively.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/38209/1/400140410_ftp.pd

EcoCyc: A comprehensive view of Escherichia coli biology

EcoCyc (http://EcoCyc.org) provides a comprehensive encyclopedia of Escherichia coli biology. EcoCyc integrates information about the genome, genes and gene products; the metabolic network; and the regulatory network of E. coli. Recent EcoCyc developments include a new initiative to represent and curate all types of E. coli regulatory processes such as attenuation and regulation by small RNAs. EcoCyc has started to curate Gene Ontology (GO) terms for E. coli and has made a dataset of E. coli GO terms available through the GO Web site. The curation and visualization of electron transfer processes has been significantly improved. Other software and Web site enhancements include the addition of tracks to the EcoCyc genome browser, in particular a type of track designed for the display of ChIP-chip datasets, and the development of a comparative genome browser. A new Genome Omics Viewer enables users to paint omics datasets onto the full E. coli genome for analysis. A new advanced query page guides users in interactively constructing complex database queries against EcoCyc. A Macintosh version of EcoCyc is now available. A series of Webinars is available to instruct users in the use of EcoCyc