The Bush-Rove partnership formed in when George decided to run for governor of Texas. Kerry never recovered from the attacks on his patriotism. Bush and Rove have a strong personal bond.
Modern high-throughput techniques made it possible to identify thousands of protein-protein interaction PPI and to reconstruct interaction networks for a growing number of model organisms. However, these methods are only capable of measuring whether or not two proteins engage in a physical interaction or are part of the same complex.
This binary classification of PPIs yes or no does not fully reflect the diversity of PPI types in different cellular contexts. In this work we focused on two aspects of PPIs. The first aspect concerns the distinction between obligate and non-obligate interactions based on stability of protein complexes.
Proteins that take part in obligate PPIs are not found as stable structures on their own in vivo while non-obligate interactors can exist independently. The second biological property of interest is whether a protein interacts with multiple partners at the same time simultaneously possible SP interactions or can rather interact with only one partner at a time mutually exclusive ME interactions.
We describe informative sequence features and characteristic network topologies for each interaction type.
We also present the results of a large-scale application of our classifier to the comprehensive interaction networks obtained from the iRefIndex database and evaluate the results using a collection of manually curated protein complexes from the CORUM database.
A large amount of molecular information was integrated to infer the regulatory network that controls the differentiation process of T lymphocytes.
The regulatory network consists of 50 nodes and 97 interactions, representing the main signaling circuits established between molecules and molecular complexes regulating the differentiation of T cells. Such network was converted into a continuous dynamical system with the use of the standardized qualitative dynamical systems SQUAD methodology, and its dynamical behavior was studied with the aid of numerical methods.
The dynamical system has nine fixed point attractors, which correspond to the activation patterns observed experimentally for the following cell types: Furthermore, the model is able to describe the differentiation process from the precursor CD4-CD8- to any of the effector types due to a specific series of extracellular signals.
We develop a new statistical model for biochemical reaction with non-stationary conditions. The new model is an extension of the well known Poisson model to Cox processes.
The Cox process can be considered as a scale and mean mixture of Poisson processes. It is shown that the property of the convergence of the Poisson distribution to Gauss distribution for large rate parameter is paralleled in Cox processes to a convergence into scale and mean mixture of Gaussian distribution.
We identify a special case namely alpha-stable distribution that can model skewed distributions as well as impulsive distributions and satisfy a generalized version of the central limit theorem. Based on this observation, we extend the classical Chemical Langevin Equation to Chemical Levy-Langevin equation, a stochastic process that is modelling Levy-walks as opposed to the Brownian motion modelled by classical Chemical Langevin Equation.
High throughput screening involves determination of the effect of many chemical compounds on a given cellular target. As currently practiced, a full set of measurements for all compounds for each new target is typically made, with little use of information from previous screens.
Here, we describe probabilistic models that can be used to predict results for unmeasured combinations, and active learning algorithms for selecting future informative batches of experiments.
Through extensive simulated experiments we showed that our approaches can produce powerful predictive models and learn them significantly faster than can be done by random choice. Since none of the effects were known prior to beginning the experiments, each clone and compound was silently duplicated to provide the ability to check how well duplicates were recognized.
The learner could to request acquisition of batches of image data for specific combinations of drugs and clones using liquid handling robotics and an automated microscope. Despite the knowledge that the vast majority of life's processes at a cellular level are carried out by complexes of multiple proteins, knowledge of all the complexes formed in animal cells and their members seems a distant goal.
This expanse of data covering over 12, protein-coding genes enables us to globally seek out and explore interesting patterns of stable interactions, including 1 cohesive, conserved stable complexes, 2 machinery displaying clear hierarchical modularity, and 3 groups of proteins displaying compelling patterns of changing interactions between members over different experimental, developmental, and evolutionary contexts.
This biochemical data, besides offering insights into the global organization and evolution of stable protein interactions, will be a valuable community resource systematically cataloging a large proportion of stable protein interactions conserved across animal cells.
Havugimana, Hart, Nepusz, Cell Poster - O A two-scale 13C-based method for intracellular metabolic flux measurement and prediction in metabolically engineered biofuel producing E.
Metabolic engineering involves assembling from genetic components found in nature a metabolic pathway capable of producing a desired biofuel molecule, and then expressing it in a host organism where the genetic components are not native.
A fruitful approach for host engineering relies on the study of internal metabolic fluxes: FBA deals with genome-scale models of metabolism, takes into account system-wide balances of metabolites and displays a variety of predictive capabilities.
It does not rely on maximum growth assumptions but rather on the highly constraining data from 13C labeling experiment. Affymetrix GeneChips have proved to be an enormously useful tool in transcriptomics.Syllabus for Organizational Behavior, Fall All topics covered in the standard OB course are covered.
What distinguishes the syllabus is the use of case studies based on television shows and movies. The specific shows appearing in the this.
Intrinsic and Extrinsic Motivation Carol Sansone, Judith Harackiewicz Acquired Aphasia Martha Sarno WJ III Clinical Use and Interpretation Fredrick Schrank / Dawn Flanagan Handbook of Hope C. Snyder . The New.
Encyclopaedia Britannica PROPAEDIA Outline of Knowledge and Guide to the Britannica How to use the PROPAEDIA As its title indicates, the PROPAEDIA, or Outline of Knowledge, is intended to serve as a topical guide to the contents. Technology Hector Garcia-Molina Jeffery D. Ullman Jennifer Widom Prentice Hall Database Systems Databases SQL u Extrinsic Rewards: Weakening or Strengthening Intrinsic Motivation Based on the two types of extrinsic motivation, extrinsic rewards may weaken or strengthen the intrinsic motivation of athletes.
Under the following situations, it is likely that extrinsic rewards will weaken intrinsic motivation. The core objective of the AGSAF website (Artificially Generated Stampede Awareness Foundation) is to shed light on the prospect of inducing real-world panic via cellular communications.
Specifically, the ramifications and consequences which could arise from a wireless saturation of false information in large crowds, such as stadiums or ballparks.