BIOPREDYN
From Data to Models: New Bioinformatics Methods and Tools for Data-Driven Predictive Dynamic Modelling in Biotechnological Applications
| Coordinatore | FUNDACIO CENTRE DE REGULACIO GENOMICA
Organization address
address: CARRER DOCTOR AIGUADER 88 contact info |
| Nazionalità Coordinatore | Spain [ES] |
| Totale costo | 3˙869˙268 € |
| EC contributo | 3˙000˙000 € |
| Programma | FP7-KBBE
Specific Programme "Cooperation": Food, Agriculture and Biotechnology |
| Code Call | FP7-KBBE-2011-5 |
| Funding Scheme | CP-TP |
| Anno di inizio | 2011 |
| Periodo (anno-mese-giorno) | 2011-10-01 - 2015-03-31 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
FUNDACIO CENTRE DE REGULACIO GENOMICA
Organization address
address: CARRER DOCTOR AIGUADER 88 contact info |
ES (BARCELONA) | coordinator | 477˙987.00 |
| 2 |
AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS
Organization address
address: CALLE SERRANO 117 contact info |
ES (MADRID) | participant | 320˙145.00 |
| 3 |
UNIVERSITEIT VAN AMSTERDAM
Organization address
address: SPUI 21 contact info |
NL (AMSTERDAM) | participant | 307˙242.00 |
| 4 |
THE UNIVERSITY OF SHEFFIELD
Organization address
address: FIRTH COURT WESTERN BANK contact info |
UK (SHEFFIELD) | participant | 291˙240.00 |
| 5 |
THE COSMO COMPANY SAS
Organization address
address: PASSAGE DU VERCORS 5 contact info |
FR (LYON) | participant | 282˙000.00 |
| 6 |
STICHTING CENTRUM VOOR WISKUNDE EN INFORMATICA
Organization address
address: Science Park 123 contact info |
NL (AMSTERDAM) | participant | 267˙428.00 |
| 7 |
INSILICO BIOTECHNOLOGY AG
Organization address
address: MEITNERSTRASSE 8 contact info |
DE (STUTTGART) | participant | 259˙200.00 |
| 8 |
THE UNIVERSITY OF MANCHESTER
Organization address
address: OXFORD ROAD contact info |
UK (MANCHESTER) | participant | 257˙853.00 |
| 9 |
EUROPEAN MOLECULAR BIOLOGY LABORATORY
Organization address
address: Meyerhofstrasse 1 contact info |
DE (HEIDELBERG) | participant | 171˙931.00 |
| 10 |
FLUXOME SCIENCES A/S
Organization address
address: GYMNASIEVEJ 5 contact info |
DK (STENLOSE) | participant | 137˙376.00 |
| 11 |
FONDAZIONE TELETHON
Organization address
address: VIA VARESE 16/B contact info |
IT (ROMA) | participant | 115˙200.00 |
| 12 |
EVOLVA AG
Organization address
address: DUGGINGERSTRASSE 23 contact info |
CH (REINACH) | participant | 112˙398.00 |
Mappa
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Obiettivo del progetto (Objective)
'Currently, biologists are collecting enormous amounts of ‘omics’ data in a vast number of different databases. Predictive, data-driven computational models are needed to understand the complex, multi-scale biological networks underlying these high-throughput datasets. Such models are non-linear and contain many parameters, which are difficult (or impossible) to measure directly. Instead, parameters need to be inferred from data. This approach is called reverse-engineering. It has tremendous potential for several areas, such as biotechnology and systems biology, since it allows us to develop models with unprecedented accuracy and predictive power. This is achieved through an iterative refinement of our models compared to quantitative ‘omics’ data, a process called the systems-biology modelling cycle. Many methods have been developed that deal with specific steps in this cycle (data analysis, model building/discrimination, parameter estimation/identifiability analysis, uncertainty quantification, and optimal experimental design), but we still lack an over-arching, easy-to-use software framework that supports the modelling cycle in its entirety, allowing its widespread application. This project aims at improving accessibility of the data, and developing novel algorithms and tools implemented in such a general framework, which will enable the efficient transfer of cutting-edge modelling and optimisation methods from an academic research setting to private biotechnology partners. We will use representative biological and biotechnological applications as benchmark problems to develop robust and generally applicable methodology. The availability of such tools to the biotechnology sector (and other industries) will greatly enhance our ability to design and optimise complex production processes, especially those of nutraceuticals, biopharmaceuticals, or fine chemicals based on engineered organisms such as bacteria, yeast or plants.'
Introduzione (Teaser)
The biotechnology industry lacks access to a wealth of data and models from labs due to a lack of modelling expertise. EU-funded scientists are developing a user-friendly simulation environment to bridge the gap.