20 research outputs found
metaSHARK: software for automated metabolic network prediction from DNA sequence and its application to the genomes of Plasmodium falciparum and Eimeria tenella
The metabolic SearcH And Reconstruction Kit
(metaSHARK) is a new fully automated software package
for the detection of enzyme-encoding genes
within unannotated genome data and their visualization
in the context of the surrounding metabolic network.
The gene detection package (SHARKhunt) runs
on a Linux systemand requires only a set of raw DNA
sequences (genomic, expressed sequence tag and/
or genome survey sequence) as input. Its output
may be uploaded to our web-based visualization
tool (SHARKview) for exploring and comparing data
from different organisms. We first demonstrate the
utility of the software by comparing its results for
the raw Plasmodium falciparum genome with the
manual annotations available at the PlasmoDB and
PlasmoCyc websites. We then apply SHARKhunt to
the unannotated genome sequences of the coccidian
parasite Eimeria tenella and observe that, at an
E-value cut-off of 10(-20), our software makes 142
additional assertions of enzymatic function compared
with a recent annotation package working
with translated open reading frame sequences. The
ability of the software to cope with low levels of
sequence coverage is investigated by analyzing
assemblies of the E.tenella genome at estimated
coverages from 0.5x to 7.5x. Lastly, as an example
of how metaSHARK can be used to evaluate the
genomic evidence for specific metabolic pathways,
we present a study of coenzyme A biosynthesis in
P.falciparum and E.tenella
Analysis of signalling pathways using continuous time Markov chains
We describe a quantitative modelling and analysis approach for signal transduction networks.
We illustrate the approach with an example, the RKIP inhibited ERK pathway [CSK+03]. Our models are high level descriptions of continuous time Markov chains: proteins are modelled by synchronous processes and reactions by transitions. Concentrations are modelled by discrete, abstract quantities. The main advantage of our approach is that using a (continuous time) stochastic logic and the PRISM model checker, we can perform quantitative analysis such as what is the probability that if a concentration reaches a certain level, it will remain at that level thereafter? or how does varying a given reaction rate affect that probability? We also perform standard simulations and compare our results with a traditional ordinary differential equation model. An interesting result is that for the example pathway, only a small number of discrete data values is required to render the simulations practically indistinguishable
Locating Photography
The specter of global dissemination haunted photography from its very beginning. This chapter explains two aspects of photography's âglobalizationâ: its use as a âwesternâ technique to document an increasingly colonized world and its dissemination around the world and its adoption by local practitioners. In rural and smallâtown central India, the studio retains a central place in most people's encounters with photography. MartĂn Chambi would retain a lifelong adherence to the purity of the photographic image but other indigenista photographers, such as Juan Manuel Figueroa Aznar, would increasingly use paint alongside photography. A World System Photography, seen in networks that fold locally articulated practices into trajectories that fuse technics, history, and culture, can help people think in new ways about the âlocationâ of photography. Locations have to be reâimagined as âTerra Infirmaâ, unstable and complex positions which may have more of the quality of linking sections of a network than of territories
A critical review on modelling formalisms and simulation tools in computational biosystems
Integration of different kinds of biological processes is an ultimate goal for whole-cell modelling. We briefly review modelling formalisms that have been used in Systems Biology and identify the criteria that must be addressed by an integrating framework capable of modelling, analysing and simulating different biological networks. Aware that no formalism can fit all purposes we realize Petri nets as a suitable model for Metabolic Engineering and take a deeper perspective on the role of this formalism as an integrating framework for regulatory and metabolic networks.Research supported by PhD grant SFRH/BD/35215/2007 from the Fundacao para a Ciencia e a Tecnologia (FCT) and the MIT-Portugal program
Oscillation enhanced search for new interaction with neutrinos
We discuss the measurement of new physics in long baseline neutrino
oscillation experiments. Through the neutrino oscillation, the probability to
detect the new physics effects such as flavor violation is enhanced by the
interference with the weak interaction. We carefully explain the situations
that the interference can take place. Assuming a neutrino factory and an
upgraded conventional beam, we estimate the feasibility to observe new physics
numerically and point out that we can search new interactions using some
channels, for example , in these experiments. We also
discuss several models which induce the effective interactions interfering with
the weak interaction, and show that some new physics effects are large enough
to be observed in the oscillation enhanced way.Comment: 25 pages, 20 figure
Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries
Background
Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres.
Methods
This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and lowâmiddle-income countries.
Results
In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of âsingle-useâ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for lowâmiddle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia.
Conclusion
This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both highâ and lowâmiddleâincome countries
Modelling Biological Networks by Action Languages Via Answer Set Programming
Abstract. We describe an approach to modelling biological networks by action languages via answer set programming. To this end, we propose an action language for modelling biological networks, building on previous work by Baral et al. We introduce its syntax and semantics along with a translation into answer set programming. Finally, we describe one of its applications, namely, the sulfur starvation response-pathway of the model plant Arabidopsis thaliana and sketch the functionality of our system and its usage.