Computational biology & molecular dynamics modeling

This theme at the interface of mathematics, computer science, physics and biology focuses on modeling and simulation for problems arising from biology.

Scientific referents

Coordinator: Luba Tchertanov

Scientific leaders:

  • Luba Tchertanov
  • Alain Trouvé

Key figures

0 post-doc -- 2 phd students -- 3 internship students

8  recently defended thesis

Presentation of the thematic area

This research in cell biology or oncology is interdisciplinary at the interface of mathematics, computer science, physics and biology. They focus on the characterization of bio-molecules that are valid and novel therapeutic targets. Researchers study, at the atomistic level, the structural and dynamic properties of biomolecules, represented in the form of 3D numerical models, and search for relationships between their properties and biological function and/or dysfunction leading to serious pathologies.

Research areas developed

  • Modeling/Simulation and Biology/Clinical
  • Modeling/Simulation and Mathematics
  • Receptor Tyrosine Kinases and Cancer

Key words

3D Modeling; Simulation of the molecular dynamics; Recognition and affinity; Proteins and complex molecular; Intrinsic disorder and transition; Allosteric regulation; Mutation and cancer; Mutation and neurodegenerative diseases; Drug resistance; Stochastic models; Machine learning 

Applications

This research has numerous applications mainly in the health field. Such a level of characterization allows us to understand the effects of abnormal molecular processes associated with serious diseases (cancers, blood diseases, inflammatory and neurodegenerative diseases...) and to provide new targets for the development of new molecules (inhibitors/modulators) in order to control these processes.

Key facts

Interactions with other themes of the Centre Borelli

Digiscope, the virtual reality of tomorrow (report CNRS)

Digiscope, le virtuel de demain | Reportage CNRS