Structural Landscape of Genetic Diseases

Structural Landscape of Genetic Diseases

Internship Description

Advances in gene sequencing have led to the production of a wealth of data linking gene mutations to patient phenotypes. Structural biology can often reveal the underlying molecular basis of a particular protein mutation but existing tools only look at one gene at the time. This project aims at producing a software tool that allows performing this structure-function analysis on a large scale and thus to analyze structural mechanisms of diseases from big data resources.


Creation of several modules to compute/retrieve sequence-and structure-based properties and integrate them in 3D (structure) space;  Conversion and cleanup of high-quality human mutation data from clinical collaborator; Integration and correlation of both.

Faculty Name

Stefan Arold

Field of Study

  Computer science, bioinformatics  ​