Pharmaceutical Bioinformatics

The Pharmaceutical Bioinformatics research group focuses on mathematical and statistical modeling, informatics and quantitative analysis of pharmacological systems. We develop methods, algorithms and software to study and model pharmaceutical interactions, and a key focus in the group is how predictive modeling, large-scale calculations and modern e-infrastructure (such as high-performance and cloud computing) can aid the drug discovery process; e.g. when studying drug toxicity, metabolism and resistance. We are involved in several national and international consortia and have a tight connection to the pharmaceutical industry, Uppsala University Hospital, and Science for Life Laboratory.

Among our external collaborators are AstraZeneca R&D, Karolinska Institutet, and Royal Holloway University of London. Some larger involvements are:

  • PhenoMeNal: A Horizon 2020 project in large-scale computing for medical metabolomics
  • OpenRiskNet: A Horizon 2020 project for cloud-based risk assessment
  • HASTE: Management and analysis of very large amounts of temporal and spatial microscopy image data in e.g. drug delivery
  • eCPC: e-Science for Cancer Prevention and Control project at the two national e-Science centers eSSENCE and SeRC where we develop solutions for sequence-based diagnostics of drug resistance in e.g. CML.

Principal investigator: Assoc. Prof. Ola Spjuth

For more information, see the research group website on https://pharmb.io/

Involvements