A structured, highly interconnected training-by-research PhD program on the efficient and innovative use of information technologies and computational approaches in drug discovery, design and development

About EUROPIN

Pharmaceutical imaging, pharmacogenomics, pharmacoepigenetics and individualised medicines as well as artificial intelligence represent challenging topics for drug design and discovery. International competitive research activities in these fields need optimised computational tools for data mining, data management and transformation of data to knowledge. This prompted a group of scientists to establish EUROPIN - a structured, highly interconnected training through research PhD program on the efficient and innovative use of information technologies and computational approaches in the drug discovery, design and development processes. Initially supported by a grant from ERASMUS-Mundus, the EUROPIN PhD Program started on Oct 1st, 2009, at 7 European Universities. The curriculum addresses the field of knowledge management, one of the main bottlenecks identified in the drug discovery and development process.

It offers a comprehensive training schedule that allows the PhD students to communicate with - and learn from - a broad panel of experts in the field. Embedded in a pan-European framework in the field of Pharmacoinformatics, our students receive strong competences in all aspects of computational methods necessary for successful application in Pharmacy and Health Sciences. Within summer schools and workshops, experts from pharmaceutical industry and SMEs are invited to present their needs and the current state of the art in the field. Training in enabling skills, such as fund raising, project management, and entrepreneurial spirit, completes the program. Quality assurance and continuous evaluation by an external advisory board from Industry assures a dedicated and top level program.

Partner Universities

The EUROPIN Partner Universities and Principal Investigators.

Gdansk University of Technology, Poland

Prof. Maciej Baginski

University of Perugia,
Italy

Prof. Antonio Macchiarulo

University Pompeu Fabra, Barcelona, Spain

Prof. Manuel Pastor
Prof. Ferran Sanz

University of Münster, Germany

Prof. Marcel Bermùdez

Charité Berlin, Germany

Prof. Andrea Volkamer

Scientific Advisors

Leading industrial experts in computational drug discovery evaluate our students at retreats and summer schools. Our Scientific Advisory Board members are:

  • Prof. Dr. Alexander Hillisch, Bayer AG
  • Prof. Dr. Klaus-Jürgen Schleifer, BASF
  • Dr. Gerhard Hessler, Sanofi
  • Dr. Anders Hogner, Astra Zeneca
  • Dr. Daniele Pala, Chiesi Farmaceutici

Supported by:

Active Students and Applicants in 2022

  • Theresa Noonan, Freie Universität Berlin
  • Aljoša Smajić, University of Vienna
  • Kristina Puls, Freie Universität Berlin
  • Friederike Wunsch, Universität Münster
  • Gian Marco Elisi, University of Parma
  • Nejra Granulo, University of Vienna
  • Alexander Wolf, Freie Universität Berlin
  • Abir Omran, University of Vienna
  • Francesca Galvani, University of Parma
  • Johannes Jokiel, University of Münster
  • Jiahui Huang, University of Vienna
  • Valerij Talagayev, Freie Universität Berlin
  • Carlo Bigiotti, University of Perugia

Alumni

  • Dr. Daniela Dolciami, BenevolentAI
  • Dr. Floriane Montanari, Bayer AG
  • Dr. Eva Hellsberg, National Instiutte of Healtth
  • Dr. Jennifer Hemmerich, BASF
  • Dr. Stefanie Kickinger, University of Copenhagen
  • Dr. Chiara Luise, University of Dundee
  • Dr. Christin Rakers, Merck Group
(list completion in progress)

Events

EUROPIN is actively supported by Prof. Gerhard Ecker by integrating talk from EUROPIN students and applicants into his EUROPIN Summer School on Drug Design in Vienna (see program for the 2021 edition) taking place every second year. In the years in between, a EUROPIN retreat is organized as separate event.

Last event: Retreat 2022 (October 6&7, Frankfurt)

This event was supported by:


Scheduled talks:

Theresa Noonan, FU Berlin
Targeting ribosomal assembly as a novel antibiotic approach
Aljoša Smajić, University of Vienna
Machine learning approaches for toxicity predictions
Kristina Puls, FU Berlin
G-protein biased modulators of the kappa opioid receptor
Friederike Wunsch, University of Münster
Mechanistic elucidation of functionally specific natural products targeting GPCRs
Gian Marco Elisi, University of Parma
Free-energy simulations on melatonin receptors ligands
Nejra Granulo, University of Vienna
Macrocyclic landscape of SLC transporters
Alexander Wolf, FU Berlin
A novel approach for the design of SHP2 inhibitors
Abir Omran, University of Vienna
Toxicity predictions of biological drugs
Francesca Galvani, University of Parma
Multiscale simulations for the design of new MGL inhibitors
Johannes Jokiel, University of Münster
Understanding natural variants of drug targets and their consequences for drug action
Jiahui Huang, University of Vienna
Structure landscape analysis and functional mapping of disease-relevant mutations on SLC transporters
Valerij Talagayev, FU Berlin
An innovative approach of Toll-like receptor dynamics exploitation for structure optimization through 3D pharmacophore analysis
Carlo Bigiotti, University of Perugia
Design of an integrated computational and biophysical screening campaign for Dimethylarginine Dimethylaminohydrolases modulators