Python Lead Software Engineer Tasks: develop highly scalable p2p and cloud based products in Python create easy-to-read, fast and well architected quality code designing application architecture creating technical documentation providing…
Python Lead Software Engineer Tasks: develop highly scalable p2p and cloud based products in Python create easy-to-read, fast and well architected quality code designing application architecture creating technical documentation providing…
The objective of the KYROBIO project will be to broaden the toolbox of single enantiomer chiral chemicals that are produced by industry in Europe using biocatalytic routes. The main target is applications of lyase enzymes to selectively synthesize molecules with multiple chiral centres applying enzymatic carbon-carbon and carbon-nitrogen bond formation as the key technical platforms being developed. Chiral compounds are an important class of chemicals that biocatalytic transformation has already demonstrated great potential to compete with chemocatalysts in their production with associated benefits that come from reductions in use of organic solvents, toxic metals and energy but application has been relatively limited. KYROBIO will address the main challenges with moving forward to the next generation of added value industrial applications of white biotechnology for high value chemical synthesis. Using a supradisciplinary approach ranging from enzyme development, chemistry, molecular biology, fermentation and innovative isolation techniques the bottlenecks to applying this new technology will be overcome. It is expected that promising candidate chemicals will be commercialised within three years of completion and so scale up with economic and feasibility studies that are also key technology developments. The consortium includes a strong presence of SMEs including SME leadership and also a large multinational company which ensures multiple routes to market for the outcomes of this project. We also plan to have economic and life cycle analysis coupled with significant dissemination plans to ensure wider understanding of this technology that will lead to increased acceptance and uptake.
High intelligence quotient, exaggerated social and political awareness and libertarian ethical principles are incompatible with the environment of slowly developing countries with widespread corruption and general lack of perspectives. Individuals suffering from this incompatibility syndrome search for and find relief in substance abuse of which regular Marijuana consumption is by far the mildest. The objective of the project is to assess whether Marijuana consumption is an effective method to reduce IQ and frustration and improve compatibility with the environment. As part of the project we will follow selected adult individuals from Polish scientific and cultural elites and monitor their mental and psychological development. We will also provide access to Marijuana produced under strict quality control to prevent intoxication with black market products that could negatively affect the reliability of our analysis of effects of THC consumption. More at thc.bioinfo.pl.
Our particle-based method allows us to synthesise high complexity peptide arrays by combinatorial synthesis and for an unrivalled prize. We plan to further develop this new technology up to the level of robust prototype machines, and mate it to bioinformatics and readout tools. Together, our procedure(s) should boost the field of proteomics in a similar way as the lithographic technologies did with the field of genomics. Central to our novel method are the activated chemical building blocks that are βfrozenβ within solid amino acid particles. Thereby, we can use a colour laser printer to send them to defined addresses on a 2D support, where the particles are simply melted to induce a spatially defined coupling reaction of now freed amino acid derivatives. By repeated printing and melting cycles this simple trick yields high complexity peptide arrays. Based on existing pre-prototypes, we will develop a user-friendly peptide laser printer that spatially defined addresses our 20 different amino acid toners in high resolution to a support (WP1), and a scanner that especially fast and sensitive reads out the large formats delivered by the peptide laser printer (WP2). The increased production of amino acid toners and array supports are other bottlenecks in the output of peptide arrays that are tackled in WP3. This should allow us to increase the output of individual peptide spots from currently 0,5 Million to >10 Million peptides per month. Finally, to foster a market for high complexity peptide arrays, we will work out paradigmatic application examples in WP4. These aim to directly screen for antibiotic or apoptosis inducing D-peptides, and for the comprehensive readout of the different antibodies that patrol the serum of autoimmune patients. Based on user-friendly prototype machines, on first paradigmatic application examples for high complexity peptide arrays, and shielded by a strong patent, the participating SMEs will commercialise this new technology.
A High-throughput and universal system for DNA removal from biological samples
The project aims to create and test an innovative system for DNA removal from biological samples. Obtained DNase will have properties allowing for easy removal or inactivation after the reactions and enabling its use in solutions with high salt concentrations. Thus, the result of the project is a response to a market demand for easy to use and efficient DNase. The product will have an application in many areas of life-science sector in the purification of RNA and proteins, as well as in in vitro expression and cell cultures. The end results of the project will be the complete protocols of industrial preparation and utilization of nuclease-purification system.
The project is co-founded by the European Union through the Smart Growth Operational Programme 2014-2020
The four principal objectives of the ELM consortium are to (1) design, (2) develop, (3) maintain and (4) apply, a novel infrastructure resource devoted to the prediction of functional motifs in protein sequences. ELM (short for Eukaryotic Linear Motif) will be both “virtual” – provided electronically – and “distributed” – provided by a network of sites. Effective prediction of short motifs will require the implementation of hitherto unique context-dependent filtering software. The ELM resource will be made available to researchers as WWW servers and as a package for local installation.
The four principle objectives correspond approximately to overlapping phases of the ELM project:
Design: The initial design requirements are to integrate: (I) a relational database; (II) data input requirements; (III) new application software; (IV) private consortium web servers; and (V) public web servers. The partners will collectively contribute both the inferred biological needs and the underlying technical specifications. A document will be prepared that describes the internal ELM architecture. Subsequent revisions to the document will be ratified by all ELM partners. A web-based input form will ensure that data input meets the internal specification.
Develop: An extensive development phase is needed to create the software needed to effectively query ELM and to generate useful predictions. Various context filters will be developed as separate modules. The easiest filter modules will be completed first, and the more complex filters later in the project. As the modules are completed, they will be integrated into the ELM resource as serial filters. For optimal performance, the fastest executing filters will be accessed first, so that only the surviving motif candidates are passed on to the slower filters.
Maintain: The ELM servers will be continually maintained and extended as the project matures. Data will be continually added into the ELM resource and older data will be revised as new biological findings are published in the literature. While many motifs are already known, during the project there will be a steady stream of new motif publications. In the mature phase of ELM, releases will be scheduled at 6 month intervals.
Apply: As the ELM resource matures, it will become increasingly powerful and useful to experimentalists. Predicted motifs will suggest unexpected functional interactions or help to confirm suspected but poorly characterised ones. The consortium partners, and their close collaborators in the host institutes, will investigate predicted motifs relevant to their research interests. Verification (and to an extent exclusion) of predicted linear motifs will lead to enhanced understanding of multifunctional multidomain proteins, many of which assemble (via linear motifs) into huge complexes whose aggregate functions are hard to investigate with current experimental approaches.
The new partner will develop an additional ab-initio filter to estimate the conformational preferences of parts of proteins. The main objective of the task proposed by the new partner is to provide a reliable tool for detection of protease target sites. This new objective represents an expansion of the ongoing work complementary to the objectives outlined in WP2 and W3.