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Follow-on drugs: how far should chemists look?
Giordanetto F, Boström J, Tyrchan C. Giordanetto F, et al. Among authors: tyrchan c. Drug Discov Today. 2011 Aug;16(15-16):722-32. doi: 10.1016/j.drudis.2011.05.011. Epub 2011 May 27. Drug Discov Today. 2011. PMID: 21658467
REINVENT 2.0: An AI Tool for De Novo Drug Design.
Blaschke T, Arús-Pous J, Chen H, Margreitter C, Tyrchan C, Engkvist O, Papadopoulos K, Patronov A. Blaschke T, et al. Among authors: tyrchan c. J Chem Inf Model. 2020 Dec 28;60(12):5918-5922. doi: 10.1021/acs.jcim.0c00915. Epub 2020 Oct 29. J Chem Inf Model. 2020. PMID: 33118816
Mining Natural Products for Macrocycles to Drug Difficult Targets.
Begnini F, Poongavanam V, Over B, Castaldo M, Geschwindner S, Johansson P, Tyagi M, Tyrchan C, Wissler L, Sjö P, Schiesser S, Kihlberg J. Begnini F, et al. Among authors: tyrchan c. J Med Chem. 2021 Jan 28;64(2):1054-1072. doi: 10.1021/acs.jmedchem.0c01569. Epub 2020 Dec 18. J Med Chem. 2021. PMID: 33337880 Free PMC article.
Augmenting DMTA using predictive AI modelling at AstraZeneca.
Ghiandoni GM, Evertsson E, Riley DJ, Tyrchan C, Rathi PC. Ghiandoni GM, et al. Among authors: tyrchan c. Drug Discov Today. 2024 Apr;29(4):103945. doi: 10.1016/j.drudis.2024.103945. Epub 2024 Mar 8. Drug Discov Today. 2024. PMID: 38460568 Free article. Review.
55 results