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Isabel Rocha

Researcher at Universidade Nova de Lisboa

Publications -  239
Citations -  4574

Isabel Rocha is an academic researcher from Universidade Nova de Lisboa. The author has contributed to research in topics: Evolutionary algorithm & Metabolic network. The author has an hindex of 34, co-authored 233 publications receiving 3930 citations. Previous affiliations of Isabel Rocha include University of Minho & Nova Southeastern University.

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Evolutionary programming as a platform for in silico metabolic engineering

TL;DR: An evolutionary programming based method to rapidly identify gene deletion strategies for optimization of a desired phenotypic objective function is reported and shows that evolutionary programming enables solving large gene knockout problems in relatively short computational time.
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OptFlux: an open-source software platform for in silico metabolic engineering

TL;DR: The OptFlux software is freely available, together with documentation and other resources, thus bridging the gap from research in strain optimization algorithms and the final users, thus providing a user-friendly computational tool for Metabolic Engineering applications.
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MEMOTE for standardized genome-scale metabolic model testing

Christian Lieven, +84 more
- 01 Mar 2020 - 
TL;DR: A community effort to develop a test suite named MEMOTE (for metabolic model tests) to assess GEM quality, and advocate adoption of the latest version of the Systems Biology Markup Language level 3 flux balance constraints (SBML3FBC) package as the primary description and exchange format.
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Modeling formalisms in Systems Biology

TL;DR: The features required by an integrated framework for modeling, analyzing and simulating biological processes, and several modeling formalisms that have been used in Systems Biology including Boolean networks, Bayesian networks, Petri nets, process algebras, constraint-based models, differential equations, rule- based models, interacting state machines, cellular automata, and agent-based model are described.