Explore the words cloud of the PAcMEN project. It provides you a very rough idea of what is the project "PAcMEN" about.
The following table provides information about the project.
Coordinator |
DANMARKS TEKNISKE UNIVERSITET
Organization address contact info |
Coordinator Country | Denmark [DK] |
Project website | http://www.pacmen-itn.eu/ |
Total cost | 3˙967˙591 € |
EC max contribution | 3˙967˙591 € (100%) |
Programme |
1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers) |
Code Call | H2020-MSCA-ITN-2016 |
Funding Scheme | MSCA-ITN-ETN |
Starting year | 2016 |
Duration (year-month-day) | from 2016-10-01 to 2020-09-30 |
Take a look of project's partnership.
# | ||||
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1 | DANMARKS TEKNISKE UNIVERSITET | DK (KGS LYNGBY) | coordinator | 1˙450˙409.00 |
2 | ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE | CH (LAUSANNE) | participant | 530˙453.00 |
3 | CHALMERS TEKNISKA HOEGSKOLA AB | SE (GOETEBORG) | participant | 527˙318.00 |
4 | TECHNISCHE UNIVERSITEIT DELFT | NL (DELFT) | participant | 510˙748.00 |
5 | SILICOLIFE LDA | PT (BRAGA) | participant | 450˙228.00 |
6 | RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN | DE (AACHEN) | participant | 249˙216.00 |
7 | SESAM-BIOTECH GMBH | DE (AACHEN) | participant | 249˙216.00 |
8 | BORREGAARD AS | NO (SARPSBORG) | partner | 0.00 |
9 | DONG ENERGY THERMAL POWER AS | DK (FREDERICIA) | partner | 0.00 |
10 | DSM FOOD SPECIALTIES BV | NL (DELFT) | partner | 0.00 |
11 | EVOLVA AG | CH (REINACH) | partner | 0.00 |
12 | TeselaGen | US (San Francisco) | partner | 0.00 |
13 | THE REGENTS OF THE UNIVERSITY OF CALIFORNIA | US (OAKLAND CA) | partner | 0.00 |
The world economy is dependent on fossil resources: oil, gas and coal. The fossil resources are finite and their consumption causes catastrophic environmental changes. Therefore we need to move towards sustainable economy using renewable resources for energy and chemicals production. Via metabolic engineering approach, novel microbial cells can be created that can convert biomass and waste into fuels and chemicals. Metabolic engineering however distinguishes itself from other engineering disciplines by low predictability of the design and long turnover times for the cell factory construction and screening. Therefore there is a need for scientists, who can address these challenges. European Training Network on Predictable and Accelerated Metabolic Engineering Networks (PAcMEN) will be established at 5 renowned European universities and 2 SMEs with participation of 5 industrial and 1 academic partner organizations. In this program 16 PhD students (of which 15 funded by EU contribution) will learn to conduct state-of-the-art research on metabolic engineering of microbial cell factories and learn to commercialize innovations. This will be achieved via collaborative research projects under supervision of top scientists from academia and industry, network training, secondments with network partners, training on innovation and entrepreneurship, and individual career coaching. Altogether, PAcMEN training programme will provide young scientists with the ideal combination of scientific, technological, industrial and management skills to prepare them for their role as breakthrough pioneers in the establishment of tomorrow’s biorefineries. The PAcMEN project will have an overall positive impact by strengthening the research networks in the area of metabolic engineering, establishing long-term collaborations between the universities and industry, and by creating a framework for future interdisciplinary training programs.
PAcMEN website | Websites, patent fillings, videos etc. | 2020-01-29 13:50:28 |
A new validated method for FACS-based screening of engineered proteins | Documents, reports | 2020-01-29 13:50:28 |
Take a look to the deliverables list in detail: detailed list of PAcMEN deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2020 |
Pierre Salvy, Vassily Hatzimanikatis The ETFL formulation allows multi-omics integration in thermodynamics-compliant metabolism and expression models published pages: , ISSN: 2041-1723, DOI: 10.1038/s41467-019-13818-7 |
Nature Communications 11/1 | 2020-02-04 |
2019 |
Petter Holland, David Bergenholm, Christoph S Börlin, Guodong Liu, Jens Nielsen Predictive models of eukaryotic transcriptional regulation reveals changes in transcription factor roles and promoter usage between metabolic conditions published pages: 4986-5000, ISSN: 0305-1048, DOI: 10.1093/nar/gkz253 |
Nucleic Acids Research 47/10 | 2020-01-29 |
2019 |
Noushin Hadadi, Homa MohammadiPeyhani, Ljubisa Miskovic, Marianne Seijo, Vassily Hatzimanikatis Enzyme annotation for orphan and novel reactions using knowledge of substrate reactive sites published pages: 7298-7307, ISSN: 0027-8424, DOI: 10.1073/pnas.1818877116 |
Proceedings of the National Academy of Sciences 116/15 | 2020-01-29 |
2019 |
Hongzhong Lu, Feiran Li, BenjamÃn J. Sánchez, Zhengming Zhu, Gang Li, Iván Domenzain, Simonas MarciÅ¡auskas, Petre Mihail Anton, Dimitra Lappa, Christian Lieven, Moritz Emanuel Beber, Nikolaus Sonnenschein, Eduard J. Kerkhoven, Jens Nielsen A consensus S. cerevisiae metabolic model Yeast8 and its ecosystem for comprehensively probing cellular metabolism published pages: , ISSN: 2041-1723, DOI: 10.1038/s41467-019-11581-3 |
Nature Communications 10/1 | 2020-01-29 |
2019 |
Jonathan Dahlin, Carina Holkenbrink, Eko Roy Marella, Guokun Wang, Ulf Liebal, Christian Lieven, Dieter Weber, Douglas McCloskey, Birgitta E. Ebert, Markus J. Herrgård, Lars Mathias Blank, Irina Borodina Multi-Omics Analysis of Fatty Alcohol Production in Engineered Yeasts Saccharomyces cerevisiae and Yarrowia lipolytica published pages: , ISSN: 1664-8021, DOI: 10.3389/fgene.2019.00747 |
Frontiers in Genetics 10 | 2020-01-29 |
2019 |
Gang Li, Kersten S. Rabe, Jens Nielsen, Martin K. M. Engqvist Machine Learning Applied to Predicting Microorganism Growth Temperatures and Enzyme Catalytic Optima published pages: 1411-1420, ISSN: 2161-5063, DOI: 10.1021/acssynbio.9b00099 |
ACS Synthetic Biology 8/6 | 2020-01-29 |
2018 |
Christoph S Börlin, Nevena Cvetesic, Petter Holland, David Bergenholm, Verena Siewers, Boris Lenhard, Jens Nielsen Saccharomyces cerevisiae displays a stable transcription start site landscape in multiple conditions published pages: , ISSN: 1567-1364, DOI: 10.1093/femsyr/foy128 |
FEMS Yeast Research 19/2 | 2020-01-29 |
2019 |
Eko Roy Marella, Jonathan Dahlin, Marie Inger Dam, Jolanda ter Horst, Hanne Bjerre Christensen, Suresh Sudarsan, Guokun Wang, Carina Holkenbrink, Irina Borodina A single-host fermentation process for the production of flavor lactones from non-hydroxylated fatty acids published pages: , ISSN: 1096-7176, DOI: 10.1016/j.ymben.2019.08.009 |
Metabolic Engineering | 2020-01-29 |
2019 |
Gang Li, Boyang Ji, Jens Nielsen The pan-genome of Saccharomyces cerevisiae published pages: , ISSN: 1567-1356, DOI: 10.1093/femsyr/foz064 |
FEMS Yeast Research 19/7 | 2020-01-29 |
2019 |
Christoph S Börlin, David Bergenholm, Petter Holland, Jens Nielsen A bioinformatic pipeline to analyze ChIP-exo datasets published pages: , ISSN: 2396-8923, DOI: 10.1093/biomethods/bpz011 |
Biology Methods and Protocols 4/1 | 2020-01-29 |
2018 |
Søren D Petersen, Jie Zhang, Jae S Lee, Tadas JakoÄiÅ«nas, Lise M Grav, Helene F Kildegaard, Jay D Keasling, Michael K Jensen Modular 5′-UTR hexamers for context-independent tuning of protein expression in eukaryotes published pages: , ISSN: 0305-1048, DOI: 10.1093/nar/gky734 |
Nucleic Acids Research | 2020-01-29 |
2018 |
Eko Roy Marella, Carina Holkenbrink, Verena Siewers, Irina Borodina Engineering microbial fatty acid metabolism for biofuels and biochemicals published pages: 39-46, ISSN: 0958-1669, DOI: 10.1016/j.copbio.2017.10.002 |
Current Opinion in Biotechnology 50 | 2020-01-29 |
2017 |
Vasil D\'Ambrosio, Michael K. Jensen Lighting up yeast cell factories by transcription factor-based biosensors published pages: , ISSN: 1567-1364, DOI: 10.1093/femsyr/fox076 |
FEMS Yeast Research 17/7 | 2020-01-29 |
2018 |
Farshad Darvishi, Mehdi Ariana, Eko Roy Marella, Irina Borodina Advances in synthetic biology of oleaginous yeast Yarrowia lipolytica for producing non-native chemicals published pages: 5925-5938, ISSN: 0175-7598, DOI: 10.1007/s00253-018-9099-x |
Applied Microbiology and Biotechnology 102/14 | 2020-01-29 |
2018 |
Hannes Juergens, Javier A Varela, Arthur R Gorter de Vries, Thomas Perli, Veronica J M Gast, Nikola Y Gyurchev, Arun S Rajkumar, Robert Mans, Jack T Pronk, John P Morrissey, Jean-Marc G Daran Genome editing in Kluyveromyces and Ogataea yeasts using a broad-host-range Cas9/gRNA co-expression plasmid published pages: , ISSN: 1567-1364, DOI: 10.1093/femsyr/foy012 |
FEMS Yeast Research 18/3 | 2020-01-29 |
2018 |
Pierre Salvy, Georgios Fengos, Meric Ataman, Thomas Pathier, Keng C Soh, Vassily Hatzimanikatis pyTFA and matTFA: a Python package and a Matlab toolbox for Thermodynamics-based Flux Analysis published pages: , ISSN: 1367-4803, DOI: 10.1093/bioinformatics/bty499 |
Bioinformatics | 2020-01-29 |
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