SilicoLife
SilicoLife

Collaborations

Working with global leaders in industrial biotechnology, agriculture, polymers and biosynthetic development.

Research Projects

  • Full name: @note, biomedical textmining

    duration

    n/d

    n/d

    @Note (pronounced as ANote) is a Biomedical Text Mining platform that copes with major Information Retrieval and Information Extraction tasks.

    http://anote-project.org/

    consortium

    University of Minho

  • Full name: Characterization of food consumption and physical activity in Portugal

    duration

    2015

    2016

    n/a

    https://ian-af.up.pt/

    consortium

    Faculdade de Medicina da Universidade do Porto (coordinator)
    Instituto de Saúde Pública da Universidade do Porto
    Faculdade de Ciências da Nutrição e Alimentação da Universidade do Porto
    Instituto Nacional de Saúde Doutor Ricardo Jorge
    AIDFM - Faculdade de Medicina da Universidade de Lisboa
    Faculdade de Desporto da Universidade do Porto
    Faculdade de Motricidade Humana da Universidade de Lisboa
    SilicoLife
    Faculdade de Medicina da Universidade de Oslo, Noruega

  • Full name: Designer yeast strain library optimized for metabolic engineering applications

    duration

    2014

    2017

    Development of optimized cell factories for the production of novel compounds is a time-consuming process and represents a significant cost/time burden. DeYeastLibrary project helps overcoming this hurdle by using cutting-edge computational and experimental tools. The project exploits the biochemical design principles of nature and will accelerate the development of yeast-based bioprocesses.

    Available Soon

    consortium

    European Molecular Biology Laboratory (coordinator)
    University of Minho
    SilicoLife
    Johann Wolfgang Goethe-Universitat
    Technical University of Denmark

  • Full name: Dynamics analysis and optimization of industrial microorganisms under dynamic process conditions

    duration

    2015

    2018

    The project lead by Delft University of Technology studies the properties of cells as factories under large-scale production conditions aiming to improve the cellular properties in order to maximize fermentation performance under real-world, large-scale conditions.

    Available Soon

    consortium

    TU Delft (coordinator)
    University of Minho
    Forschungszentrum Jülich
    Metabolomic Discoveries
    SilicoLife
    Genomatica

  • Full name: Integrated Process and Cell Refactoring Systems for Enhanced Industrial Biotechnology

    duration

    2014

    2017

    The project aims to convert low-value glycerol, a by-product of biodiesel production, to chiral amino alcohol (CAA) and 1,2-propanediol (PDO). CAA is an intermediate in the manufacturing of some medicines, while PDO is used for the de-icing of aircrafts. Two yeasts are being engineered for an optimal biological conversion glycerol into CAA and PDO.

    Available Soon

    consortium

    University College London (coordinator)
    Jacobs University Bremen
    SilicoLife
    Technical University of Denmark
    Autonomous University of Barcelona
    Bio-Prodict
    Ingenza
    University of Strathclyde

  • Full name: Thermophilic cell factories for efficient conversion of brown algae biomass to high-value chemicals

    duration

    2016

    2019

    Thermofactories is a marine biotechnology initiative for the development of thermophile cell factories exploiting brown algae biomass as a feedstock for the production of specialty chemicals. The ThermoFactories project gathers top notch entities from Portugal, Iceland, Denmark, Sweden and Norway and is co-funded by ERA-MarineBiotech program.

    Available Soon

    consortium

    Norwegian University of Science and Technology (coordinator)
    SINTEF
    University of Iceland
    Lund University
    Technical University of Denmark
    Matis Ohf
    Biotrend
    SilicoLife

  • Full name: New tailor-made biopolymers produced from sugars obtained from lignocellulosic residues for flame retardancy highly demanding applications

    duration

    2012

    2016

    BRIGIT developed a cost-competitive and environmentally friendly continuous process to produce biopolymers (polyhydroxybutyrate, PHB, and succinate-based biopolyesters, PBS-Poly-Butylene-Succinate) from waste-derived lignocelullosic sugar feedstock liquor of wood sulphite pulping process based on “in-situ” fermentation process and new fermentation culture technology without alteration of the quality of current lignosulphonates (with a high market demand as additive).

    http://www.brigit-project.eu/

    consortium

    AIMPLAS
    University of Lund
    University of Cantabria
    Biotrend
    SilicoLife
    Agricultural University of Athens
    Avecom
    BioComposites Centre at Bangor University
    Nextek
    DLab
    Green Source
    Addcomp Holland
    Pro Form
    Xperion Aerospace
    Solaris
    Centro Ricerche Fiat

  • Full name: Bioinformatics Services for Data-Driven Design of Cell Factories and Communities

    duration

    2016

    2020

    DD-DeCaF is a four-year collaborative project on data-driven design of cells and microbial communities for applications ranging from human health to sustainable production of chemicals. This project, coordinated by the Novo Nordisk Foundation Center for Biosustainability, was awarded by the European Commission with 6.3 million Euros and brings together leading academic partners from five European universities with five innovative European companies to address the challenge of building a comprehensive design tool.

    http://dd-decaf.eu/

    consortium

    DTU / Novo Nordisk Foundation Center for Biosustainability (coordinator)
    Technical University of Denmark
    Chalmers University of Technology
    European Molecular Biology Laboratory
    Ecole Polytechnique Federale de Lausanne
    University of Minho
    SilicoLife
    Genialis
    Biobyte solutions GmbH
    Biosyntia
    DSM

  • Full name: Modular cell factories for the production of 100 compounds from the shikimate pathway

    duration

    January 2019

    December 2022

    SHIKIFACTORY100 is a Horizon2020 project aiming towards the production of a universe of more than 100 high-added value compounds from the shikimate pathway through the development of an optimized shikimate chassis and implementation of novel biosynthetic routes exploring enzyme promiscuity to introduce new pathways for the production of known and newly designed compounds. This project is coordinated by SilicoLife and has 11 partners (6 research partners, 4 biotech SMEs, 1 industrial company).

    http://shikifactory100.eu/

    consortium

    SilicoLife
    DTU
    EMBL
    EPFL
    University NOVA of Lisbon
    The University of Manchester
    Universidade do Minho
    c-LEcta
    Galchimia
    NNFCC
    DSM

  • Full name: Parasite Glycobiology and anti-parasitic strategies

    duration

    2014

    2017

    The main scientific goal of GlycoPar ITN is the description of novel paradigms and models by which parasite glycoconjugates (from protozoans to helminths) play a role in the successful colonization of the different hosts and the translation of all this knowledge into novel diagnostic tools and therapeutic approaches against parasitic infections affecting humans or animals.

    http://www.glycopar.eu/

    consortium

    Instituto de Medicina Molecular (coordinator)
    University of Dundee
    Barcelona Institute for Global Health
    Swiss Federal Institute of Technology
    Hanover Medical School
    University of Natural Resources and Life Sciences Vienna
    Liverpool School of Tropical Medicine
    Helmholtz-Institute for Pharmaceutical Research Saarland
    Malcisbo
    Biogno
    SilicoLife
    Ludger
    GlaxoSmithKline R&D
    Sombiotech

  • Full name: Predictive and Accelerated Metabolic Engineering Network

    duration

    2016

    2020

    PAcMEN will apply novel modeling, ‘omic data analysis, synthetic biology and protein engineering technologies to enable a new paradigm for cost-effective, predictive and accelerated metabolic engineering of cell factories. Further, PAcMEN will serve to educate the much-needed scientists to create biotechnological solutions for sustainable production of fuels and chemicals. The graduates will be prepared through research, business, and entrepreneurship training to become leaders in small and large private companies or academia.

    http://www.pacmen-itn.eu/

    consortium

    Technical University of Denmark (coordinator)
    Delft University of Technology
    RWTH Aachen University
    SilicoLife
    Chalmers University of Technology
    SeSaM-Biotech
    École polytechnique fédérale de Lausanne

  • Full name: Systematic Models for Biological Systems Engineering Training Network

    duration

    2015

    2019

    SyMBioSys is a joint academic/industrial training initiative supporting the convergence of engineering, biological and computational sciences. The consortium's mutual goal is developing a new generation of innovative and entrepreneurial early-stage researchers to develop and exploit cutting-edge dynamic mathematical models for biomedical and biotechnological applications.

    http://www.h2020symbiosys.eu/

    consortium

    Imperial College London (coordinator)
    Instituto de Investigaciones Marinas
    Aristote University of Thessaloniki
    Insilico Biotechnology
    Process Systems Enterprise
    SilicoLife
    Humboldt-Universität
    ProtATonce
    Rijksuniversiteit Groningen
    RWTH Aachen University Clinic
    École polytechnique fédérale de Lausanne

  • Full name: SME qualification - Hiring highly qualified human resources

    duration

    01-12-2020

    31-03-2023

    Exploitation of internal technologies for the development of new products and services (including IP generation)

    http://www.silicolife.com/norte2020-rh/

    consortium

    SilicoLife

  • Full name: OptFlux: metabolic engineering workbench

    duration

    n/d

    n/d

    OptFlux is an open-source and modular software to support in silico metabolic engineering tasks.

    www.optflux.com

    consortium

    University of Minho

  • Full name: Deep Learning and Machine Learning for industrial biotechnology applications

    duration

    01-07-2019

    30-06-2022

    Development of computational methods for metabolic engineering based on Machine Learning / Deep Learning for the prediction of biological activities, new molecules, reactions and pathways for industrial biotechnology applications.

    http://www.silicolife.com/deepbio/

    consortium

    SilicoLife
    Universidade do Minho
    Universidade Nova de Lisboa