P
Philippe Bogaerts
Researcher at Université libre de Bruxelles
Publications - 114
Citations - 1375
Philippe Bogaerts is an academic researcher from Université libre de Bruxelles. The author has contributed to research in topics: Observer (quantum physics) & State observer. The author has an hindex of 18, co-authored 107 publications receiving 1214 citations. Previous affiliations of Philippe Bogaerts include Free University of Brussels.
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Fast and accurate predictions of protein stability changes upon mutations using statistical potentials and neural networks
TL;DR: The predictive power of this method, based on a formalism that highlights the coupling between four protein sequence and structure descriptors, and take into account the amino acid volume variation upon mutation, is shown to be significantly higher than that of other programs described in the literature.
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Macroscopic modelling of overflow metabolism and model based optimization of hybridoma cell fed-batch cultures
TL;DR: A macroscopic model that takes into account phenomena of overflow metabolism within glycolysis and glutaminolysis is proposed to simulate hybridoma HB-58 cell cultures and will be valuable for monitoring and control of fed-batch cultures in order to optimize the process.
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Software sensors for bioprocesses
TL;DR: A number of software sensor design methods, including extended Kalman filters, receding-horizon observers, asymptotic observers, and hybrid observers, which can be efficiently applied to bioprocesses are reviewed.
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Dynamic modeling of complex biological systems: a link between metabolic and macroscopic description.
TL;DR: It is shown that systems with complex intracellular reaction networks can be represented by macroscopic reactions relating extracellular components only and an equivalent 'input-output' representation of the system to be derived.
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A hybrid asymptotic-Kalman observer for bioprocesses
TL;DR: In this paper, a hybrid technique is proposed which allows to jointly estimate the state and identify on-line the confidence on the kinetic model, and two limit cases (100 and 0 confidence) allow to recover rigorously the extended Kalman filter and the asymptotic observer of Bastin and Dochain.