• Groene Loper, Building 15, Gemini South (room 2.106)

    5612 AZ Eindhoven

    Netherlands

Organization profile

Introduction / mission

Constructing computational models to improve the knowledge of diseases, biomedical processes and structures

Highlighted phrase

Describing, understanding and ultimately controlling life's processes

Organisational profile

The research group Computational Biology develops computational models that help to obtain qualitative and quantitative knowledge of diseases, biomedical processes and structures. The computational models are developed based on a thorough understanding of molecular modeling methods, data analysis techniques,  machine learning, systems biology, and parameter estimation techniques. Next to data obtained through collaborations and partnerships with other university groups, companies and hospitals, within the Synthetic Biology arena data is also achieved by own experiments. Topics of research are, amongst others, biomembranes, protein interactions, complex biochemical networks, and diseases like metabolic syndrome, diabetes mellitus and cancer. The group also puts efforts in enhancing the shift from ‘describing’ life’s processes to ‘understanding’ them and ‘capturing’ them in validated predictive models, and even ‘managing’ or ‘controlling’ them in real life. Research themes of the group are Molecular Simulations, Systems Biology, Synthetic Biology, Bioinformatics and Mathematical Modeling.

Fingerprint Dive into the research topics where Computational Biology is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Model checking Engineering & Materials Science
Polymers Chemical Compounds
Self assembly Chemical Compounds
Computer Simulation Medicine & Life Sciences
Monomers Chemical Compounds
Systems Biology Medicine & Life Sciences
Muscles Medicine & Life Sciences
Polymerization Chemical Compounds

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Profiles

Photo of Gizem Aktas

Gizem Aktas, MSc

Person: Prom. : doctoral candidate (PhD)

20192019
No photo of Mart Bartelds

Mart Bartelds, MSc

Person: OWP : University Teacher / Researcher

Photo of Bas Bögels
20192019

Research Output 1982 2020

Metabolic Health Index (MHI): assessment of comorbidity in bariatric patients based on biomarkers

van Loon, S. L. M., Deneer, R., Nienhuijs, S. W., Wilbik, A., Kaymak, U., van Riel, N., Scharnhorst, V. & Boer, A-K., 1 Feb 2020, In : Obesity Surgery. 30, 2, p. 714-724 11 p.

Research output: Contribution to journalArticleAcademicpeer-review

Bariatrics
Comorbidity
Biomarkers
Health
Ambulatory Surgical Procedures

Modeling and visualization for High Intensity Focused Ultrasound simulations

Modena, D., 27 Feb 2020, (Accepted/In press) Eindhoven: Technische Universiteit Eindhoven.

Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)

4 Downloads (Pure)

Proximity-induced caspase-9 activation on a DNA origami-based synthetic apoptosome

Rosier, B., Markvoort, B., Gumi Audenis, B., Roodhuizen, J., den Hamer, A., Brunsveld, L. & de Greef, T. F. A., 6 Jan 2020, In : Nature Catalysis. 12 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
Apoptosomes
Caspase 9
DNA
Protein Engineering
Multiprotein Complexes

Prizes

AMC Principal Investigator

Natal van Riel (Recipient), 1 May 2016

Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

Best poster award

Yvonne Rozendaal (Recipient), 28 Oct 2016

Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

Heart Neoplasms
Practice Guidelines
Chronic Disease
Stroke
Myocardial Infarction

Activities 1999 2018

Personalized modelling of bile acid metabolism: predicting metabolic effects of bariatric surgery

Natal van Riel (Speaker)
6 Jul 2018

Activity: Talk or presentation typesInvited talkScientific

4th Dutch Bioinformatics & Systems Biology Conference

Natal van Riel (Organiser)
15 May 201816 May 2018

Activity: Participating in or organising an event typesConferenceScientific

A physiology based glucose-insulin-GLP-1 model: explaining changes observed after Roux-en-Y gastric bypass

L.C.P. Thijssen (Speaker), Natal van Riel (Member)
15 May 2018

Activity: Talk or presentation typesContributed talkScientific

Research areas

Bioinformatics

Rina van Dijck - Postma (Content manager), Sylvia van Beek - Verschure (Content manager), Lieke van Gorp (Content manager), Amy Broeders (Content manager)

Impact: Research Topic/Theme (at group level)

Brain Image Analysis

Josien P.W. Pluim (Content manager), Rina van Dijck - Postma (Content manager), Sylvia van Beek - Verschure (Content manager), Lieke van Gorp (Content manager), Amy Broeders (Content manager)

Impact: Research Topic/Theme (at group level)

Cardiovascular Image Analysis

Josien P.W. Pluim (Content manager), Rina van Dijck - Postma (Content manager), Sylvia van Beek - Verschure (Content manager), Lieke van Gorp (Content manager), Amy Broeders (Content manager)

Impact: Research Topic/Theme (at group level)

Student theses

A computational biology framework: a data analysis tool to support biomedical engineers in their research

Author: Beishuizen, T., 29 Nov 2018

Supervisor: Bosnacki, D. (Supervisor 1), Cheplygina, V. (Supervisor 2), Hilbers, P. (Supervisor 2), Fletcher, G. (Supervisor 2) & Vanschoren, J. (Supervisor 2)

Student thesis: Master

A physiology based glucose-insulin-GLP-1 model: explaining changes observed after Roux-en-Y gastric bypass

Author: Thijssen, L., 30 Aug 2018

Supervisor: Sips, F. (Supervisor 1), Yildirim, V. (Supervisor 2), van Riel, N. (Supervisor 2) & Hilbers, P. (Supervisor 2)

Student thesis: Master

Biomarkers as predictor of quality of life in bariatric patients

Author: Schouten, J., 31 Jan 2019

Supervisor: Hilbers, P. (Supervisor 1), van Riel, N. (Supervisor 2), Scharnhorst, V. (Supervisor 2), van Loon, S. (Supervisor 2) & Deneer, R. (Supervisor 2)

Student thesis: Master