Kogej T - Search Results

1

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: kogej t. Front Pharmacol. 2019 Nov 5;10:1303. doi: 10.3389/fphar.2019.01303. eCollection 2019. Front Pharmacol. 2019. PMID: 31749705 Free PMC article. Review.

2

Multifingerprint based similarity searches for targeted class compound selection.

Kogej T, Engkvist O, Blomberg N, Muresan S. Kogej T, et al. J Chem Inf Model. 2006 May-Jun;46(3):1201-13. doi: 10.1021/ci0504723. J Chem Inf Model. 2006. PMID: 16711740

3

Comparison of molecular fingerprint methods on the basis of biological profile data.

Steffen A, Kogej T, Tyrchan C, Engkvist O. Steffen A, et al. Among authors: kogej t. J Chem Inf Model. 2009 Feb;49(2):338-47. doi: 10.1021/ci800326z. J Chem Inf Model. 2009. PMID: 19434835

4

ProSAR: a new methodology for combinatorial library design.

Chen H, Börjesson U, Engkvist O, Kogej T, Svensson MA, Blomberg N, Weigelt D, Burrows JN, Lange T. Chen H, et al. Among authors: kogej t. J Chem Inf Model. 2009 Mar;49(3):603-14. doi: 10.1021/ci800231d. J Chem Inf Model. 2009. PMID: 19434898

5

Physicochemical property profiles of marketed drugs, clinical candidates and bioactive compounds.

Tyrchan C, Blomberg N, Engkvist O, Kogej T, Muresan S. Tyrchan C, et al. Among authors: kogej t. Bioorg Med Chem Lett. 2009 Dec 15;19(24):6943-7. doi: 10.1016/j.bmcl.2009.10.068. Epub 2009 Oct 20. Bioorg Med Chem Lett. 2009. PMID: 19879759

6

Exploring in silico prediction of the unbound brain-to-plasma drug concentration ratio: model validation, renewal, and interpretation.

Varadharajan S, Winiwarter S, Carlsson L, Engkvist O, Anantha A, Kogej T, Fridén M, Stålring J, Chen H. Varadharajan S, et al. Among authors: kogej t. J Pharm Sci. 2015 Mar;104(3):1197-206. doi: 10.1002/jps.24301. Epub 2014 Dec 24. J Pharm Sci. 2015. PMID: 25546343

7

Investigating Pharmacological Similarity by Charting Chemical Space.

Buonfiglio R, Engkvist O, Várkonyi P, Henz A, Vikeved E, Backlund A, Kogej T. Buonfiglio R, et al. Among authors: kogej t. J Chem Inf Model. 2015 Nov 23;55(11):2375-90. doi: 10.1021/acs.jcim.5b00375. Epub 2015 Nov 2. J Chem Inf Model. 2015. PMID: 26484706

8

Innovation in Small-Molecule-Druggable Chemical Space: Where are the Initial Modulators of New Targets Published?

Ashenden SK, Kogej T, Engkvist O, Bender A. Ashenden SK, et al. Among authors: kogej t. J Chem Inf Model. 2017 Nov 27;57(11):2741-2753. doi: 10.1021/acs.jcim.7b00295. Epub 2017 Nov 14. J Chem Inf Model. 2017. PMID: 29068231

9

Cheminformatics in Drug Discovery, an Industrial Perspective.

Chen H, Kogej T, Engkvist O. Chen H, et al. Among authors: kogej t. Mol Inform. 2018 Sep;37(9-10):e1800041. doi: 10.1002/minf.201800041. Epub 2018 May 18. Mol Inform. 2018. PMID: 29774657 Review.

10

Accurate Hit Estimation for Iterative Screening Using Venn-ABERS Predictors.

Buendia R, Kogej T, Engkvist O, Carlsson L, Linusson H, Johansson U, Toccaceli P, Ahlberg E. Buendia R, et al. Among authors: kogej t. J Chem Inf Model. 2019 Mar 25;59(3):1230-1237. doi: 10.1021/acs.jcim.8b00724. Epub 2019 Feb 22. J Chem Inf Model. 2019. PMID: 30726080

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