Daniel Machado

Orcid: 0000-0002-2063-5383

According to our database1, Daniel Machado authored at least 11 papers between 2008 and 2016.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2016
Stoichiometric Representation of Gene-Protein-Reaction Associations Leverages Constraint-Based Analysis from Reaction to Gene-Level Phenotype Prediction.
PLoS Comput. Biol., 2016

Care Partnerships: Toward Technology to Support Teens' Participation in Their Health Care.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2014
Systematic Evaluation of Methods for Integration of Transcriptomic Data into Constraint-Based Models of Metabolism.
PLoS Comput. Biol., 2014

A kinetic model for curcumin production in Escherichia coli.
Biosyst., 2014

2012
Random sampling of elementary flux modes in large-scale metabolic networks.
Bioinform., 2012

Multi-level Dynamic Modeling in Biological Systems - Application of Hybrid Petri Nets to Network Simulation.
Proceedings of the BIOINFORMATICS 2012 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Vilamoura, Algarve, Portugal, 1, 2012

2010
Hybrid dynamic modeling of Escherichia coli central metabolic network combining Michaelis-Menten and approximate kinetic equations.
Biosyst., 2010

Model Transformation of Metabolic Networks using a Petri Net Based Framework.
Proceedings of the Workshops of the 31st International Conference on Application and Theory of Petri Nets and Other Models of Concurrency (PETRI NETS 2010) and of the 10th International Conference on Application of Concurrency to System Design (ACSD 2010), 2010

2009
A Critical Review on Modelling Formalisms and Simulation Tools in Computational Biosystems.
Proceedings of the Distributed Computing, 2009

Large Scale Dynamic Model Reconstruction for the Central Carbon Metabolism of Escherichia coli .
Proceedings of the Distributed Computing, 2009

2008
getALife - An Artificial Life Environment for the Evaluation of Agent-Based Systems and Evolutionary Algorithms for Reinforcement Learning.
Proceedings of the New Challenges in Applied Intelligence Technologies, 2008


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