Organic Chemistry drives the discovery of molecules that have the potential to transform global health. New synthetic and analytical methods promise significant improvements in the speed of this discovery and the quality of any resulting pharmaceuticals. In parallel it is now understood that i) improved sharing of data and ideas can radically improve our ability to discover and develop medicines and ii) the scientific community will greatly benefit if its work can be machine-readable, so as to harness creative ideas from new methods in artificial intelligence and machine learning.
This special issue focuses on breakthrough new scientific methods in medicinal chemistry and drug discovery, with a theme of how the sharing of open data can increase the impact of the research.
Submission is still open.
Please find here further information on the submission process.
Send an email to Prof. Matthew Todd.
Beilstein J. Org. Chem. 2019, 15, 2790–2797, doi:10.3762/bjoc.15.271
Beilstein J. Org. Chem. 2020, 16, 596–606, doi:10.3762/bjoc.16.54
Beilstein J. Org. Chem. 2020, 16, 1203–1224, doi:10.3762/bjoc.16.105