What is he best known for?
The fields of study he is best known for:
His main research concerns Molecular descriptor, Synthetic biology, Biochemical engineering, Molecule and Artificial intelligence.
His Molecular descriptor study combines topics from a wide range of disciplines, such as Valence and Data mining.
The study incorporates disciplines such as Biotechnology and Function in addition to Synthetic biology.
His Biotechnology study incorporates themes from Chassis, Electronic circuit and Metabolic engineering.
The various areas that Jean-Loup Faulon examines in his Biochemical engineering study include Automation, Organism and Metabolic network modelling.
His research integrates issues of Discretization, Microarray and Machine learning in his study of Artificial intelligence.
His most cited work include:
- Predicting protein--protein interactions using signature products (316 citations)
- The signature molecular descriptor. 1. Using extended valence sequences in QSAR and QSPR studies. (164 citations)
- Boolean dynamics of genetic regulatory networks inferred from microarray time series data (134 citations)
What are the main themes of his work throughout his whole career to date?
Jean-Loup Faulon spends much of his time researching Synthetic biology, Metabolic engineering, Computational biology, Biochemical engineering and Artificial intelligence.
In his works, Jean-Loup Faulon conducts interdisciplinary research on Synthetic biology and Pipeline.
His Metabolic engineering study integrates concerns from other disciplines, such as Chemical space, Systems biology and Biosensor.
His Artificial intelligence study combines topics in areas such as Machine learning and Pattern recognition.
His studies in Machine learning integrate themes in fields like Process and Plan.
His research investigates the connection between Metabolic pathway and topics such as Biological system that intersect with problems in Molecular descriptor.
He most often published in these fields:
- Synthetic biology (42.86%)
- Metabolic engineering (31.80%)
- Computational biology (23.96%)
What were the highlights of his more recent work (between 2017-2021)?
- Synthetic biology (42.86%)
- Metabolic engineering (31.80%)
- Biosensor (12.44%)
In recent papers he was focusing on the following fields of study:
His main research concerns Synthetic biology, Metabolic engineering, Biosensor, Computational biology and Biochemical engineering.
In his study, Jean-Loup Faulon carries out multidisciplinary Synthetic biology and Pipeline research.
His biological study spans a wide range of topics, including Chemical space, Food science and Metabolic pathway.
Jean-Loup Faulon studied Biosensor and Transcription factor that intersect with Fluorescent reporter, Plasmid copy number and Cell-free system.
His Computational biology research includes elements of Manual curation and Small molecule.
His Biochemical engineering research is multidisciplinary, incorporating perspectives in Automation, Active learning, Scale and Protein biosynthesis.
Between 2017 and 2021, his most popular works were:
- An automated Design-Build-Test-Learn pipeline for enhanced microbial production of fine chemicals (84 citations)
- An automated Design-Build-Test-Learn pipeline for enhanced microbial production of fine chemicals (84 citations)
- RetroPath2.0: A retrosynthesis workflow for metabolic engineers. (72 citations)
In his most recent research, the most cited papers focused on:
His scientific interests lie mostly in Synthetic biology, Metabolic engineering, Pipeline, Workflow and Selection.
His work deals with themes such as Software engineering, Nanotechnology and Scale, which intersect with Synthetic biology.
His study in Metabolic engineering is interdisciplinary in nature, drawing from both Systems biology, Database and Biosensor.
His Biosensor research integrates issues from Transducer, Cell free and Biochemical engineering.
Jean-Loup Faulon combines subjects such as Scope, Protocol, Cheminformatics, Process and Enzyme promiscuity with his study of Workflow.
His Selection study is concerned with Artificial intelligence in general.
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