Bojarski AJ - Search Results

1

Substructural Connectivity Fingerprint and Extreme Entropy Machines-A New Method of Compound Representation and Analysis.

Rataj K, Czarnecki W, Podlewska S, Pocha A, Bojarski AJ. Rataj K, et al. Among authors: bojarski aj. Molecules. 2018 May 23;23(6):1242. doi: 10.3390/molecules23061242. Molecules. 2018. PMID: 29789513 Free PMC article.

2

New imide 5-HT1A receptor ligands - modification of terminal fragment geometry.

Bojarski AJ, Mokrosz MJ, Duszyńska B, Kozioł A, Bugno R. Bojarski AJ, et al. Molecules. 2004 Feb 28;9(3):170-7. doi: 10.3390/90300170. Molecules. 2004. PMID: 18007421 Free PMC article.

3

New strategy for receptor-based pharmacophore query construction: a case study for 5-HT₇ receptor ligands.

Kurczab R, Bojarski AJ. Kurczab R, et al. Among authors: bojarski aj. J Chem Inf Model. 2013 Dec 23;53(12):3233-43. doi: 10.1021/ci4005207. Epub 2013 Nov 22. J Chem Inf Model. 2013. PMID: 24245803

4

An application of machine learning methods to structural interaction fingerprints--a case study of kinase inhibitors.

Witek J, Smusz S, Rataj K, Mordalski S, Bojarski AJ. Witek J, et al. Among authors: bojarski aj. Bioorg Med Chem Lett. 2014 Jan 15;24(2):580-5. doi: 10.1016/j.bmcl.2013.12.017. Epub 2013 Dec 10. Bioorg Med Chem Lett. 2014. PMID: 24374279

5

Impact of template choice on homology model efficiency in virtual screening.

Rataj K, Witek J, Mordalski S, Kosciolek T, Bojarski AJ. Rataj K, et al. Among authors: bojarski aj. J Chem Inf Model. 2014 Jun 23;54(6):1661-8. doi: 10.1021/ci500001f. Epub 2014 May 21. J Chem Inf Model. 2014. PMID: 24813470

6

Exploiting uncertainty measures in compounds activity prediction using support vector machines.

Smusz S, Czarnecki WM, Warszycki D, Bojarski AJ. Smusz S, et al. Among authors: bojarski aj. Bioorg Med Chem Lett. 2015 Jan 1;25(1):100-5. doi: 10.1016/j.bmcl.2014.11.005. Epub 2014 Nov 7. Bioorg Med Chem Lett. 2015. PMID: 25466199

7

Multi-Step Protocol for Automatic Evaluation of Docking Results Based on Machine Learning Methods--A Case Study of Serotonin Receptors 5-HT(6) and 5-HT(7).

Smusz S, Mordalski S, Witek J, Rataj K, Kafel R, Bojarski AJ. Smusz S, et al. Among authors: bojarski aj. J Chem Inf Model. 2015 Apr 27;55(4):823-32. doi: 10.1021/ci500564b. Epub 2015 Apr 8. J Chem Inf Model. 2015. PMID: 25806997

8

Fingerprint-based consensus virtual screening towards structurally new 5-HT(6)R ligands.

Smusz S, Kurczab R, Satała G, Bojarski AJ. Smusz S, et al. Among authors: bojarski aj. Bioorg Med Chem Lett. 2015 May 1;25(9):1827-30. doi: 10.1016/j.bmcl.2015.03.049. Epub 2015 Mar 24. Bioorg Med Chem Lett. 2015. PMID: 25866241

9

Multiple conformational states in retrospective virtual screening - homology models vs. crystal structures: beta-2 adrenergic receptor case study.

Mordalski S, Witek J, Smusz S, Rataj K, Bojarski AJ. Mordalski S, et al. Among authors: bojarski aj. J Cheminform. 2015 Apr 9;7:13. doi: 10.1186/s13321-015-0062-x. eCollection 2015. J Cheminform. 2015. PMID: 25949744 Free PMC article.

10

Imidazolidine-4-one derivatives in the search for novel chemosensitizers of Staphylococcus aureus MRSA: synthesis, biological evaluation and molecular modeling studies.

Matys A, Podlewska S, Witek K, Witek J, Bojarski AJ, Schabikowski J, Otrębska-Machaj E, Latacz G, Szymańska E, Kieć-Kononowicz K, Molnar J, Amaral L, Handzlik J. Matys A, et al. Among authors: bojarski aj. Eur J Med Chem. 2015 Aug 28;101:313-25. doi: 10.1016/j.ejmech.2015.06.013. Epub 2015 Jun 24. Eur J Med Chem. 2015. PMID: 26160112

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