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    more  Organization address address: CARRER DOCTOR AIGUADER 88 city: BARCELONA postcode: 8003 contact info Titolo: Mr. Nome: Stefan Cognome: Pönisch Email: send email Telefono: +34 933160264 Fax: +34 933969983
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

#	participant	country	role	EC contrib. [€]
1	FUNDACIO CENTRE DE REGULACIO GENOMICA  Organization address address: CARRER DOCTOR AIGUADER 88 city: BARCELONA postcode: 8003 contact info Titolo: Mr. Nome: Stefan Cognome: Pönisch Email: send email Telefono: +34 933160264 Fax: +34 933969983	ES (BARCELONA)	coordinator	477˙987.00
2	AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS  Organization address address: CALLE SERRANO 117 city: MADRID postcode: 28006 contact info Titolo: Mr. Nome: Eusebio Cognome: Jimenez Arroyo Email: send email Telefono: +34 91 566 8852 Fax: +34 91 566 8913	ES (MADRID)	participant	320˙145.00
3	UNIVERSITEIT VAN AMSTERDAM  Organization address address: SPUI 21 city: AMSTERDAM postcode: 1012WX contact info Titolo: Ms. Nome: Vanessa Cognome: Wolters Email: send email Telefono: +31 20 5257876 Fax: +31 20 5257675	NL (AMSTERDAM)	participant	307˙242.00
4	THE UNIVERSITY OF SHEFFIELD  Organization address address: FIRTH COURT WESTERN BANK city: SHEFFIELD postcode: S10 2TN contact info Titolo: Ms. Nome: Joanne Cognome: Watson Email: send email Telefono: +44 114 222 4754 Fax: +44 114 222 1455	UK (SHEFFIELD)	participant	291˙240.00
5	THE COSMO COMPANY SAS  Organization address address: PASSAGE DU VERCORS 5 city: LYON postcode: 69007 contact info Titolo: Ms. Nome: Visnia Cognome: Boccon-Gibod Email: send email Telefono: +33 6 85 90 38 04	FR (LYON)	participant	282˙000.00
6	STICHTING CENTRUM VOOR WISKUNDE EN INFORMATICA  Organization address address: Science Park 123 city: AMSTERDAM postcode: 1098XG contact info Titolo: Ms. Nome: Margriet Cognome: Brouwer Email: send email Telefono: +31 20 592 4253	NL (AMSTERDAM)	participant	267˙428.00
7	INSILICO BIOTECHNOLOGY AG  Organization address address: MEITNERSTRASSE 8 city: STUTTGART postcode: 70563 contact info Titolo: Mr. Nome: Klaus Cognome: Mauch Email: send email Telefono: 4971150000000 Fax: 4971150000000	DE (STUTTGART)	participant	259˙200.00
8	THE UNIVERSITY OF MANCHESTER  Organization address address: OXFORD ROAD city: MANCHESTER postcode: M13 9PL contact info Titolo: Ms. Nome: Liz Cognome: Fay Email: send email Telefono: +44 161 275 7114	UK (MANCHESTER)	participant	257˙853.00
9	EUROPEAN MOLECULAR BIOLOGY LABORATORY  Organization address address: Meyerhofstrasse 1 city: HEIDELBERG postcode: 69117 contact info Titolo: Mr. Nome: Tom Cognome: Ratcliff Email: send email Telefono: +44 1223492528 Fax: +44 1223494470	DE (HEIDELBERG)	participant	171˙931.00
10	FLUXOME SCIENCES A/S  Organization address address: GYMNASIEVEJ 5 city: STENLOSE postcode: 3660 contact info Titolo: Ms. Nome: Sarah Cognome: Barret Email: send email Telefono: 4547188403 Fax: 4545888425	DK (STENLOSE)	participant	137˙376.00
11	FONDAZIONE TELETHON  Organization address address: VIA VARESE 16/B city: ROMA postcode: 185 contact info Titolo: Ms. Nome: Irene Cognome: Mearelli Email: send email Telefono: +39 06 44015308 Fax: +39 06 44202032	IT (ROMA)	participant	115˙200.00
12	EVOLVA AG  Organization address address: DUGGINGERSTRASSE 23 city: REINACH postcode: 4153 contact info Titolo: Mr. Nome: Jakob Cognome: Dynnes Hansen Email: send email Telefono: +41 61 485 2034 Fax: +41 61 485 2001	CH (REINACH)	participant	112˙398.00

Mappa

 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

 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.