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Items: 21

1.

Re-Representing Metaphor: Modeling Metaphor Perception Using Dynamically Contextual Distributional Semantics.

McGregor S, Agres K, Rataj K, Purver M, Wiggins G.

Front Psychol. 2019 Apr 15;10:765. doi: 10.3389/fpsyg.2019.00765. eCollection 2019.

2.

Dyslexic individuals orient but do not sustain visual attention: Electrophysiological support from the lower and upper alpha bands.

Van der Lubbe RHJ, de Kleine E, Rataj K.

Neuropsychologia. 2019 Mar 4;125:30-41. doi: 10.1016/j.neuropsychologia.2019.01.013. Epub 2019 Jan 24.

PMID:
30685505
3.

Use a Spoon as a Spade?: Changes in the Upper and Lower Alpha Bands in Evaluating Alternate Object Use.

Rataj K, Nazareth DS, van der Velde F.

Front Psychol. 2018 Oct 23;9:1941. doi: 10.3389/fpsyg.2018.01941. eCollection 2018.

4.

Salt Bridge in Ligand-Protein Complexes-Systematic Theoretical and Statistical Investigations.

Kurczab R, Śliwa P, Rataj K, Kafel R, Bojarski AJ.

J Chem Inf Model. 2018 Nov 26;58(11):2224-2238. doi: 10.1021/acs.jcim.8b00266. Epub 2018 Oct 31.

PMID:
30351056
5.

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.

Molecules. 2018 May 23;23(6). pii: E1242. doi: 10.3390/molecules23061242.

6.

Fingerprint-Based Machine Learning Approach to Identify Potent and Selective 5-HT2BR Ligands.

Rataj K, Kelemen ÁA, Brea J, Loza MI, Bojarski AJ, Keserű GM.

Molecules. 2018 May 10;23(5). pii: E1137. doi: 10.3390/molecules23051137.

7.

On understanding creative language: The late positive complex and novel metaphor comprehension.

Rataj K, Przekoracka-Krawczyk A, van der Lubbe RHJ.

Brain Res. 2018 Jan 1;1678:231-244. doi: 10.1016/j.brainres.2017.10.030. Epub 2017 Oct 28.

PMID:
29107661
8.

To electrify bilingualism: Electrophysiological insights into bilingual metaphor comprehension.

Jankowiak K, Rataj K, Naskręcki R.

PLoS One. 2017 Apr 17;12(4):e0175578. doi: 10.1371/journal.pone.0175578. eCollection 2017.

9.

From Homology Models to a Set of Predictive Binding Pockets-a 5-HT1A Receptor Case Study.

Warszycki D, Rueda M, Mordalski S, Kristiansen K, Satała G, Rataj K, Chilmonczyk Z, Sylte I, Abagyan R, Bojarski AJ.

J Chem Inf Model. 2017 Feb 27;57(2):311-321. doi: 10.1021/acs.jcim.6b00263. Epub 2017 Jan 18.

10.

GPCRdb: an information system for G protein-coupled receptors.

Isberg V, Mordalski S, Munk C, Rataj K, Harpsøe K, Hauser AS, Vroling B, Bojarski AJ, Vriend G, Gloriam DE.

Nucleic Acids Res. 2017 Mar 17;45(5):2936. doi: 10.1093/nar/gkw1218. No abstract available.

11.

Crystal Structure of the SPOC Domain of the Arabidopsis Flowering Regulator FPA.

Zhang Y, Rataj K, Simpson GG, Tong L.

PLoS One. 2016 Aug 11;11(8):e0160694. doi: 10.1371/journal.pone.0160694. eCollection 2016.

12.

GPCRdb: the G protein-coupled receptor database - an introduction.

Munk C, Isberg V, Mordalski S, Harpsøe K, Rataj K, Hauser AS, Kolb P, Bojarski AJ, Vriend G, Gloriam DE.

Br J Pharmacol. 2016 Jul;173(14):2195-207. doi: 10.1111/bph.13509. Epub 2016 Jun 3. Review.

13.

GPCRdb: an information system for G protein-coupled receptors.

Isberg V, Mordalski S, Munk C, Rataj K, Harpsøe K, Hauser AS, Vroling B, Bojarski AJ, Vriend G, Gloriam DE.

Nucleic Acids Res. 2016 Jan 4;44(D1):D356-64. doi: 10.1093/nar/gkv1178. Epub 2015 Nov 17. Erratum in: Nucleic Acids Res. 2017 Mar 17;45(5):2936.

14.

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.

J Cheminform. 2015 Apr 9;7:13. doi: 10.1186/s13321-015-0062-x. eCollection 2015.

15.

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.

J Chem Inf Model. 2015 Apr 27;55(4):823-32. doi: 10.1021/ci500564b. Epub 2015 Apr 8.

PMID:
25806997
16.

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

Rataj K, Witek J, Mordalski S, Kosciolek T, Bojarski AJ.

J Chem Inf Model. 2014 Jun 23;54(6):1661-8. doi: 10.1021/ci500001f. Epub 2014 May 21.

PMID:
24813470
17.

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.

Bioorg Med Chem Lett. 2014 Jan 15;24(2):580-5. doi: 10.1016/j.bmcl.2013.12.017. Epub 2013 Dec 10.

PMID:
24374279
18.

Message ends: RNA 3' processing and flowering time control.

Rataj K, Simpson GG.

J Exp Bot. 2014 Feb;65(2):353-63. doi: 10.1093/jxb/ert439. Epub 2013 Dec 21.

PMID:
24363425
19.

Caffeoyl shikimate esterase (CSE) is an enzyme in the lignin biosynthetic pathway in Arabidopsis.

Vanholme R, Cesarino I, Rataj K, Xiao Y, Sundin L, Goeminne G, Kim H, Cross J, Morreel K, Araujo P, Welsh L, Haustraete J, McClellan C, Vanholme B, Ralph J, Simpson GG, Halpin C, Boerjan W.

Science. 2013 Sep 6;341(6150):1103-6. doi: 10.1126/science.1241602. Epub 2013 Aug 15.

20.

[Polish version of Comprehensive Assessment of At Risk Mental States (CAARMS)--the description of the method].

Jaracz J, Grzechowiak M, Raczkowiak L, Rataj K, Rybakowski J.

Psychiatr Pol. 2012 Jan-Feb;46(1):95-107. Polish.

PMID:
23214153
21.

Alternative polyadenylation of antisense RNAs and flowering time control.

Hornyik C, Duc C, Rataj K, Terzi LC, Simpson GG.

Biochem Soc Trans. 2010 Aug;38(4):1077-81. doi: 10.1042/BST0381077. Review.

PMID:
20659007

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