About InSilicoScreen

We provide our clients with a reliable and specific information about the global dynamic of the cellular networks by combining the efficient numerical and mathematical methods together with an in-depth understanding of the underlying molecular processes

Our services

Mathematical modeling with quantitative simulations provides our clients with insilico time series data of a selected set of molecules for different types of initial conditions and external perturbations
Using insilico time series data, our Insilico Screening Services can identify master regulators and critical sub networks, providing our clients with a set of the most relevant targets for knockdown or inhibition/overexpression experiments

Results obtained with quantitative simulations are easily reproducible: we can test as many initial conditions as needed to give our clients a better overview of the global comportment of the cellular network of interest.

How does it work?

Founder

Dr. Quentin Vanhaelen, Founder of InsilicoScreen

Quentin Vanhaelen, Ph.D. was a post-doctoral fellow at the Ottawa Hospital Research Institute (OHRI), Ottawa, Canada from 2011 to 2013. He founded the company InsilicoScreen shortly after returning in Belgium. InsilicoScreen is engaged in mathematical modeling of biological pathways and gene regulatory networks. Quentin Vanhaelen is also a member of lifeboat foundation

Education and academic degrees

Bachelor’s and Master’s degree in Physics (Université libre de Bruxelles (ULB), 2006. DEA in Sciences (Université libre de Bruxelles (ULB), 2007. Ph.D. in Theoretical Physics (Grant FNRS–FRIA) Université libre de Bruxelles (ULB), 2010 [thesis on the non equilibrium thermodynamics and dynamics of a deformable interface between two electro-magnetically controllable fluids].

Research interests

Stem cell biology, regenerative medicine, evolutionary theories of aging, biophysics, non-linear systems, non-equilibrium thermodynamics

Publications	Read
The conundrum of human immune system "senescence"	Source
Artificial intelligence, drug repurposing and peer review	Source
The Advent of Generative Chemistry	Source
Lack of consensus on an aging biology paradigm? A global survey reveals an agreement to disagree, and the need for an interdisciplinary framework	Source
Web-based Tools for Drug Repurposing: Successful Examples of Collaborative Research	Source
Will Artificial Intelligence for Drug Discovery Impact Clinical Pharmacology?	Source
Latest advances in aging research and drug discovery	Source
Thermo-capillary effects along a deformable singular interface between two immiscible fluids	Source
Non-programmed (Nonadaptive) Aging Theories	Source
Artificial Intelligence for Aging and Longevity Research: Recent Advances and Perspectives	Source
A Note on Stochastic Modeling of Biological Systems: Automatic Generation of an Optimized Gillepsie Algorithm	Source
Entropy production, thermodynamic fluxes and transport coefficients of an interface between two electromagnetic fluids with spin	Source
Adversarial Threshold Neural Computer for Molecular De Novo Design	Source
Vive la radiorésistance!: Converging research in radiobiology and biogerontology to enhance human radioresistance for deep space exploration and colonization	Source
Chapter 3: Evolutionary Theories of Aging: A Systemic and Mechanistic Perspective	Source
A comparative review of computational methods for pathway perturbation analysis: Dynamical and topological perspectives	Source
The cornucopia of meaningful leads: Applying deep adversarial autoencoders for new molecule development in oncology	Source
In silico Pathway Activation Network Decomposition Analysis (iPANDA) as a method for biomarker development	Source
Design of efficient computational workflows for in silico drug repurposing	Source
Aging as an Optimization Between Cellular Maintenance Requirements and Evolutionary Constraints	Source
Forward and Reverse Genetics through Derivation of Haploid Mouse Embryonic Stem Cells	Source
Contribution to the dynamics of a deformable interface between two immiscible electromagnetically controllable fluids	Source

Contact us

Address Square de Meeûs 38/40, 1000 Bruxelles, Belgium
E-mail info@insilicoscreen.eu
Fax +32 (0)2 401 61 90

Important Notice: Information provided in the personalized report is for research purpose only. The company is not responsible for any consequences related to the use of the information provided. Every effort is made to ensure the accuracy of our Insilico analysis; however, as quantitative mathematical models of cellular networks rely on the current established knowledge, differences between the in vivo comportment of the cellular network and predictions based on Insilico approaches could be observed.

Dynamic in silico modelling, simulation and analysis of cellular networks