Bjerrum EJ - Search Results

1

Tweaking agonist efficacy at N-methyl-D-aspartate receptors by site-directed mutagenesis.

Hansen KB, Clausen RP, Bjerrum EJ, Bechmann C, Greenwood JR, Christensen C, Kristensen JL, Egebjerg J, Bräuner-Osborne H. Hansen KB, et al. Among authors: bjerrum ej. Mol Pharmacol. 2005 Dec;68(6):1510-23. doi: 10.1124/mol.105.014795. Epub 2005 Aug 30. Mol Pharmacol. 2005. PMID: 16131614

2

Design, synthesis, and pharmacology of a highly subtype-selective GluR1/2 agonist, (RS)-2-amino-3-(4-chloro-3-hydroxy-5-isoxazolyl)propionic acid (Cl-HIBO).

Bjerrum EJ, Kristensen AS, Pickering DS, Greenwood JR, Nielsen B, Liljefors T, Schousboe A, Bräuner-Osborne H, Madsen U. Bjerrum EJ, et al. J Med Chem. 2003 May 22;46(11):2246-9. doi: 10.1021/jm020588f. J Med Chem. 2003. PMID: 12747796

3

Rigid body essential X-ray crystallography: distinguishing the bend and twist of glutamate receptor ligand binding domains.

Bjerrum EJ, Biggin PC. Bjerrum EJ, et al. Proteins. 2008 Jul;72(1):434-46. doi: 10.1002/prot.21941. Proteins. 2008. PMID: 18214958

4

"Ring Breaker": Neural Network Driven Synthesis Prediction of the Ring System Chemical Space.

Thakkar A, Selmi N, Reymond JL, Engkvist O, Bjerrum EJ. Thakkar A, et al. Among authors: bjerrum ej. J Med Chem. 2020 Aug 27;63(16):8791-8808. doi: 10.1021/acs.jmedchem.9b01919. Epub 2020 May 13. J Med Chem. 2020. PMID: 32352286 Free article.

5

Applications of Deep-Learning in Exploiting Large-Scale and Heterogeneous Compound Data in Industrial Pharmaceutical Research.

David L, Arús-Pous J, Karlsson J, Engkvist O, Bjerrum EJ, Kogej T, Kriegl JM, Beck B, Chen H. David L, et al. Among authors: bjerrum ej. Front Pharmacol. 2019 Nov 5;10:1303. doi: 10.3389/fphar.2019.01303. eCollection 2019. Front Pharmacol. 2019. PMID: 31749705 Free PMC article. Review.

6

Medicines combinations options and regulatory hurdles.

Bjerrum OJ, Gautam Y, Bjerrum EJ, Schmiegelow M, Boonen HC. Bjerrum OJ, et al. Among authors: bjerrum ej. Eur J Pharm Sci. 2013 Jul 16;49(4):659-63. doi: 10.1016/j.ejps.2013.04.028. Epub 2013 May 3. Eur J Pharm Sci. 2013. PMID: 23643740 No abstract available.

7

AI-assisted synthesis prediction.

Johansson S, Thakkar A, Kogej T, Bjerrum E, Genheden S, Bastys T, Kannas C, Schliep A, Chen H, Engkvist O. Johansson S, et al. Drug Discov Today Technol. 2019 Dec;32-33:65-72. doi: 10.1016/j.ddtec.2020.06.002. Epub 2020 Jul 11. Drug Discov Today Technol. 2019. PMID: 33386096 Review.

8

A de novo molecular generation method using latent vector based generative adversarial network.

Prykhodko O, Johansson SV, Kotsias PC, Arús-Pous J, Bjerrum EJ, Engkvist O, Chen H. Prykhodko O, et al. Among authors: bjerrum ej. J Cheminform. 2019 Dec 3;11(1):74. doi: 10.1186/s13321-019-0397-9. J Cheminform. 2019. PMID: 33430938 Free PMC article.

9

SMILES-based deep generative scaffold decorator for de-novo drug design.

Arús-Pous J, Patronov A, Bjerrum EJ, Tyrchan C, Reymond JL, Chen H, Engkvist O. Arús-Pous J, et al. Among authors: bjerrum ej. J Cheminform. 2020 May 29;12(1):38. doi: 10.1186/s13321-020-00441-8. J Cheminform. 2020. PMID: 33431013 Free PMC article.

10

Randomized SMILES strings improve the quality of molecular generative models.

Arús-Pous J, Johansson SV, Prykhodko O, Bjerrum EJ, Tyrchan C, Reymond JL, Chen H, Engkvist O. Arús-Pous J, et al. Among authors: bjerrum ej. J Cheminform. 2019 Nov 21;11(1):71. doi: 10.1186/s13321-019-0393-0. J Cheminform. 2019. PMID: 33430971 Free PMC article.

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