Exchange between academia and industry in the area of drug discovery and development

Reference number
Coordinator Uppsala universitet - Institutionen för läkemedelskemi
Funding from Vinnova SEK 152 114
Project duration June 2016 - November 2017
Status Completed
Venture Personal mobility between societal sectors

Purpose and goal

The aim for this project was to transfer knowledge and methods in drug discovery and development between Uppsala University and AstraZeneca Gothenburg. Specific goals in the project was to create contact between academia and industry, transfer knowledge and methods in computational medicinal chemistry, and publish at least one co-authored scientific paper.

Expected results and effects

The results of the research activities in the two subprojects are planned for publication as co-authored scientific papers during 2018. The project has stimulated collaboration between the project parties and will continue after the end of the project in the form of two different projects aiming to develop predictive models for selectivity in pharmaceutically relevant chemical reactions. Knowledge and methods used in the project has been transferred to the applicant’s academic institution and implemented there in research and education.

Planned approach and implementation

The project was conducted at AstraZeneca Gothenburg at which the academic participant was placed twelve working weeks in total over a period of 18 months. The research activity was divided between two different subprojects in different research groups. Project activities included data generation, model development, analysis, and validation. In both subprojects the research was conducted in collaboration between the project parties and has resulted in fruitful interaction and transfer of knowledge and methods in drug discovery and development.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 25 November 2019

Reference number 2016-02110

Page statistics