Pedro Mendes mostly deals with Systems biology, Computational biology, Bioinformatics, Metabolomics and Genomics. Pedro Mendes studies Systems biology, namely Modelling biological systems. The Metabolic network research Pedro Mendes does as part of his general Computational biology study is frequently linked to other disciplines of science, such as Human metabolism, therefore creating a link between diverse domains of science.
His Bioinformatics research also works with subjects such as
His main research concerns Systems biology, Computational biology, Bioinformatics, Biochemistry and Software. The Systems biology study combines topics in areas such as Metabolic network, SBML, Data mining and Data science. He interconnects MetaCyc and Computational model in the investigation of issues within SBML.
His biological study deals with issues like Genomics, which deal with fields such as Metabolome. When carried out as part of a general Biochemistry research project, his work on Enzyme, Metabolism and Metabolite is frequently linked to work in Enzyme kinetics, therefore connecting diverse disciplines of study. His Software research integrates issues from Web service, Theoretical computer science, Distributed computing, Database and Set.
His primary scientific interests are in Systems biology, Computational biology, Software, Biochemistry and Hepcidin. Systems biology is a primary field of his research addressed under Bioinformatics. In general Bioinformatics study, his work on Synthetic biology and Metabolomics often relates to the realm of Graph database, thereby connecting several areas of interest.
Pedro Mendes undertakes multidisciplinary studies into Computational biology and Human metabolism in his work. His biological study spans a wide range of topics, including Ontology, Web service, SBML, Markup language and Software engineering. His work in the fields of Transporter, Metabolic flux analysis, Cell metabolism and Catabolism overlaps with other areas such as Glucose uptake.
His scientific interests lie mostly in Software, Systems biology, Java, Python and Bioinformatics. His study on Software also encompasses disciplines like
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The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models.
M. Hucka;A. Finney;H. M. Sauro;H. Bolouri;H. Bolouri.
COPASI---a COmplex PAthway SImulator
Stefan Hoops;Sven Sahle;Ralph Gauges;Christine Lee.
Plant metabolomics: large-scale phytochemistry in the functional genomics era
Lloyd W Sumner;Pedro Mendes;Richard A Dixon.
A community-driven global reconstruction of human metabolism
Ines Thiele;Neil Swainston;Ronan M T Fleming;Andreas Hoppe.
Nature Biotechnology (2013)
Parameter Estimation in Biochemical Pathways: A Comparison of Global Optimization Methods
Carmen G. Moles;Pedro Mendes;Julio R. Banga.
Genome Research (2003)
GEPASI: A software package for modelling the dynamics, steady states and control of biochemical and other systems
Non-linear optimization of biochemical pathways: applications to metabolic engineering and parameter estimation.
Pedro Mendes;Douglas B. Kell.
Potential of metabolomics as a functional genomics tool
Raoul J. Bino;Robert D. Hall;Oliver Fiehn;Joachim Kopka.
Trends in Plant Science (2004)
Biochemistry by numbers: simulation of biochemical pathways with Gepasi 3
Trends in Biochemical Sciences (1997)
A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology
Markus Herrgard;Neil Swainston;Paul Dobson;Warwick B. Dunn.
Nature Biotechnology (2008)
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