What is he best known for?
The fields of study he is best known for:
- Gene
- Enzyme
- Artificial intelligence
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
- Information retrieval, which have a strong connection to Documentation,
- BioModels Database and related Systems Biology Ontology and CellML.
His study in the field of Metabolome is also linked to topics like Multiple Models.
His Genomics research focuses on Gene regulatory network and how it connects with Data mining, Expression and Microarray.
His most cited work include:
- The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models. (2637 citations)
- COPASI---a COmplex PAthway SImulator (1760 citations)
- Plant metabolomics: large-scale phytochemistry in the functional genomics era (820 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Systems biology (55.34%)
- Computational biology (40.29%)
- Bioinformatics (31.55%)
What were the highlights of his more recent work (between 2015-2021)?
- Systems biology (55.34%)
- Computational biology (40.29%)
- Software (22.33%)
In recent papers he was focusing on the following fields of study:
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.
Between 2015 and 2021, his most popular works were:
- ChEBI in 2016: Improved services and an expanding collection of metabolites. (319 citations)
- Recon 2.2: from reconstruction to model of human metabolism (177 citations)
- Metabolic regulation is sufficient for global and robust coordination of glucose uptake, catabolism, energy production and growth in Escherichia coli. (57 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Enzyme
- Artificial intelligence
His scientific interests lie mostly in Software, Systems biology, Java, Python and Bioinformatics.
His study on Software also encompasses disciplines like
- Markup language which intersects with area such as Computational science and File format,
- Software engineering which intersects with area such as Interoperability, Computational model and SBML.
His Systems biology study is concerned with Computational biology in general.
His Python study combines topics in areas such as Ontology, Java applet, World Wide Web, JavaScript and User experience design.
His work on Metabolomics and Synthetic biology as part of general Bioinformatics research is frequently linked to Human metabolism, thereby connecting diverse disciplines of science.
His research in Metabolomics intersects with topics in Metabolism and Enzyme.
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