Isabel Rocha
Assistant Professor
- 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 2011: 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.
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)
- Ongoing: SISBI - Intelligent decision support system for Industrial Biotechnology (Team Member)
Research Students
- Ana Sofia Araújo Ferreira - PhD Student
- Anis Hamdi - PhD Student
- Cristiana da Silva Faria - Post-Doc
- Hélder Moisés Gonçalves Pinheiro Lopes - PhD Student
- Hüseyin Demirci - Post-Doc
- Joana Filipa Azevedo Oliveira - PhD Student
- José Roberto Fuzer Neto - PhD Student
- Patrícia Sofia Sousa Dias - PhD Student
- Paul Drescher - PhD Student
- Paulo Jorge Lopes Maia da Silva - Collaborator (PhD)
- Pedro Tiago Evangelista - Collaborator (PhD)
- Rafael de Castro Carreira - Collaborator (PhD)
- Sara Alexandra Gomes Correia - Post-Doc
- Simão Pedro de Pinho Soares - Collaborator (Non PhD)
- Sophia Torres Santos - PhD Student
- Sushil Kumar Shakyawar - PhD Student
- Tiago Filipe Coelho Resende - PhD Student
Recent Publications
| 1 |
Heterologous production of resveratrol in bacterial hosts: current status and perspectives
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| 2 |
BacHBerry: BACterial Hosts for production of Bioactive phenolics from bERRY fruits
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| 3 |
Methods for automated genome-scale metabolic model reconstruction
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| 4 |
An adsorptive bioprocess for production and recovery of resveratrol with Corynebacterium glutamicum
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| 5 |
Reconstruction of a genome-scale metabolic model for Actinobacillus succinogenes 130Z
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| 6 |
Metabolite secretion in microorganisms: the theory of metabolic overflow put to the test
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| 7 |
Quantitative physiology and elemental composition of Kluyveromyces lactis CBS 2359 during growth on glucose at different specific growth rates
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| 8 |
Impact of the cultivation strategy on resveratrol production from glucose in engineered Corynebacterium glutamicum
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| 9 |
Genome-scale modeling of yeast: chronology, applications and critical perspectives
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| 10 |
Development of a framework for metabolic pathway analysis-driven strain optimization methods
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| 11 |
Integration of biomass formulations of genome-scale metabolic models with experimental data reveals universally essential cofactors in prokaryotes
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| 12 |
Genome-wide semi-automated annotation of transporter systems
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| 13 |
Rhodococcus opacus B4: a promising bacterium for production of biofuels and biobased chemicals
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| 14 |
Improving the flux distributions simulated with genome-scale metabolic models of Saccharomyces cerevisiae
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| 15 |
Estimation of biomass composition from genomic and transcriptomic information
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| 16 |
Computing and applying atomic regulons to understand gene expression and regulation
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| 17 |
Stoichiometric representation of gene–protein–reaction associations leverages constraint-based analysis from reaction to gene-level phenotype prediction
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| 18 |
Current state and challenges for dynamic metabolic modeling
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| 19 |
Yeast metabolic chassis designs for diverse biotechnological products
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| 20 |
In silico constraint-based strain optimization methods: the quest for optimal cell factories
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