Isabel Rocha
Principal Investigator
- Research Line: Industrial Biotechnology and Bioengineering
- Research Group: BIOSYSTEMS
- 253 604 414 (office)
- irocha@deb.uminho.pt
- http://ceb.uminho.pt/People/Profile/irocha
Career
- Since 2019: Principal Investigator, Universidade Nova de Lisboa
- 2011 - 2019: Assistant Professor, Universidade do Minho
- 2006 - 2011: Invited Assistant Professor, Universidade do Minho
- 2004 - 2006: Invited Lecturer, Universidade do Minho
Qualifications
- 2003: PhD in Chemical and Biological Engineering, Universidade do Minho
Roles and Responsibilities
- Since 2011: Member of the Scientific Steering Committee of Department, Department of Biological Engineering
- 2010 - 2013: Program Director, Master Program in Bioinformatics - Biological Sciences
- Since 2007: Member of Program Studies Steering Committee, PhD Program in Bioengineering
- 2008 - 2008: APBio
- Since 2013: Member of the Editorial Board of "Frontiers in Bioengineering and Biotechnology - Synthetic Biology"
Honors and Awards
- 2011: Best Poster Award at 5th Annual Workshop on the Business-Government Interface: Systems and Synthetic Biology, Universidade do Minho, Braga. Title: Exploring the gap between dynamic and constraint-based models of metabolism.
- Since 2019: Systems Biology and Metabolic Engineering
- 2011 - 2019: UMinho Faculty member at Centre of Biological Engineering
- 1998 - 2003: Model-based strategies for computer-aided operation of recombinant E. coli fermentation
Projects
- Ongoing: MIXED-UP - Targeting pathogenesis and engineering cell factories: developing mixed regulatory-metabolic genomic models in yeasts (PI)
- Ongoing: Biodata.pt - Portuguese Biological Data Network (PI)
- Ongoing: BBRI - Biomass and Bioenergy Research Infrastructure (Team Member)
- Ongoing: DD-Decaf - Bioinformatics Services for Data-Driven Design of Cell Factories and Communities (PI)
Research Students
- Anis Hamdi - PhD Student
- Hüseyin Demirci - Post-Doc
- Joana Filipa Azevedo Oliveira - PhD Student
- Marta Sofia Costa Sampaio - Research Grant
- Patrícia Sofia Sousa Dias - PhD Student
- Paul Drescher - PhD Student
- Paulo Jorge Lopes Maia da Silva - Collaborator (PhD)
- Rafael de Castro Carreira - Collaborator (PhD)
- Simão Pedro de Pinho Soares - Collaborator (Non PhD)
- Sophia Torres Santos - PhD Student
Recent Publications
| 1 |
Turnover dependent phenotypic simulation: a quantitative constraint-based simulation method that accommodates all main strain design strategies
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| 2 |
Mapping Salmonella typhimurium pathways using 13C Metabolic Flux Analysis
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| 3 |
Identification and microbial production of the raspberry phenol salidroside that is active against Huntington's disease
|
| 4 |
Modulation of the central carbon metabolism of Corynebacterium glutamicum improves malonyl-CoA availability and increases plant polyphenol synthesis
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| 5 |
Production of mannosylglycerate in Saccharomyces cerevisiae by metabolic engineering and bioprocess optimization
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| 6 |
Metabolic models and gene essentiality data reveal essential and conserved metabolism in prokaryotes
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| 7 |
Heterologous production of resveratrol in bacterial hosts: current status and perspectives
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| 8 |
BacHBerry: BACterial Hosts for production of Bioactive phenolics from bERRY fruits
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| 9 |
Methods for automated genome-scale metabolic model reconstruction
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| 10 |
An adsorptive bioprocess for production and recovery of resveratrol with Corynebacterium glutamicum
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| 11 |
Reconstruction of a genome-scale metabolic model for Actinobacillus succinogenes 130Z
|
| 12 |
Metabolite secretion in microorganisms: the theory of metabolic overflow put to the test
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| 13 |
Quantitative physiology and elemental composition of Kluyveromyces lactis CBS 2359 during growth on glucose at different specific growth rates
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| 14 |
Impact of the cultivation strategy on resveratrol production from glucose in engineered Corynebacterium glutamicum
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| 15 |
Genome-scale modeling of yeast: chronology, applications and critical perspectives
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| 16 |
Development of a framework for metabolic pathway analysis-driven strain optimization methods
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| 17 |
Integration of biomass formulations of genome-scale metabolic models with experimental data reveals universally essential cofactors in prokaryotes
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| 18 |
Genome-wide semi-automated annotation of transporter systems
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| 19 |
Rhodococcus opacus B4: a promising bacterium for production of biofuels and biobased chemicals
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| 20 |
Improving the flux distributions simulated with genome-scale metabolic models of Saccharomyces cerevisiae
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