The medicinal chemist's toolbox: an analysis of reactions used in the pursuit of drug candidates.
By Stephen D. Roughley, A. Jordan. 2011
2,042 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Molecular Biology, Organic Chemistry, Computational Chemistry & Drug Discovery
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- Gisbert Schneider
- Petra Schneider
- Matthias Zentgraf
- W. Patrick Walters
- C. K. Surratt
- Jeffry D. Madura
- Kimito Funatsu
- Jennifer Listgarten
In Molecular Biology
- Gisbert Schneider
- Petra Schneider
- C. K. Surratt
- Jeffry D. Madura
- W. Patrick Walters
- Jennifer Listgarten
- Michael J. Wasko
- Kendy A. Pellegrene
In Organic Chemistry
- C. K. Surratt
- Jeffry D. Madura
- Petra Schneider
- Gisbert Schneider
- W. Patrick Walters
- Michael J. Wasko
- Kendy A. Pellegrene
In Computational Chemistry & Drug Discovery
- Gisbert Schneider
- W. Patrick Walters
- C. K. Surratt
- Jeffry D. Madura
- Michael J. Wasko
- Kendy A. Pellegrene
- Roderick E. Hubbard
- Sergey I. Nikolenko
Citations in the corpus
- A Role for Fragment-Based Drug Design in Developing Novel Lead Compounds for Central Nervous System Targets (2015, background): “Useful perspectives on how medicinal chemists approach drug design would include the reactions commonly in their toolboxes (49), and how they exploit molecular interactions (14).”
- Rethinking drug design in the artificial intelligence era (2019, background): “The choice of reactions for automation should primarily focus on the ones frequently employed by medicinal chemists 135,136 , so the chemist is free to perform the more challenging synthetic steps and conceive new chemical reactions 137,138 .”
- Rethinking amide bond synthesis (2011, neutral): “GLP-1 (22-36) Interleukin-8 (35-72) I n t e r l e u k i n 8 ( 1 3 3 )RNase A (11 –124) G L P 1 ( 2 2 3 6 ) I n t e r l e u k i n 8 ( 3 5 7 2 ) Interleukin-8 (1-33) RNase A (110–111)”