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Items: 39

1.

A Chemical Probe for Tudor Domain Protein Spindlin1 to Investigate Chromatin Function.

Fagan V, Johansson C, Gileadi C, Monteiro O, Dunford JE, Nibhani R, Philpott M, Malzahn J, Wells G, Faram R, Cribbs AP, Halidi N, Li F, Chau I, Greschik H, Velupillai S, Allali-Hassani A, Bennett J, Christott T, Giroud C, Lewis AM, Huber KVM, Athanasou N, Bountra C, Jung M, Schüle R, Vedadi M, Arrowsmith C, Xiong Y, Jin J, Fedorov O, Farnie G, Brennan PE, Oppermann U.

J Med Chem. 2019 Oct 24;62(20):9008-9025. doi: 10.1021/acs.jmedchem.9b00562. Epub 2019 Oct 15.

PMID:
31550156
2.

Annotating Temporal Relations to Determine the Onset of Psychosis Symptoms.

Viani N, Kam J, Yin L, Verma S, Stewart R, Patel R, Velupillai S.

Stud Health Technol Inform. 2019 Aug 21;264:418-422. doi: 10.3233/SHTI190255.

PMID:
31437957
3.

Identifying Suicidal Adolescents from Mental Health Records Using Natural Language Processing.

Velupillai S, Epstein S, Bittar A, Stephenson T, Dutta R, Downs J.

Stud Health Technol Inform. 2019 Aug 21;264:413-417. doi: 10.3233/SHTI190254.

PMID:
31437956
4.

Text Classification to Inform Suicide Risk Assessment in Electronic Health Records.

Bittar A, Velupillai S, Roberts A, Dutta R.

Stud Health Technol Inform. 2019 Aug 21;264:40-44. doi: 10.3233/SHTI190179.

PMID:
31437881
5.

C8-substituted pyrido[3,4-d]pyrimidin-4(3H)-ones: Studies towards the identification of potent, cell penetrant Jumonji C domain containing histone lysine demethylase 4 subfamily (KDM4) inhibitors, compound profiling in cell-based target engagement assays.

Le Bihan YV, Lanigan RM, Atrash B, McLaughlin MG, Velupillai S, Malcolm AG, England KS, Ruda GF, Mok NY, Tumber A, Tomlin K, Saville H, Shehu E, McAndrew C, Carmichael L, Bennett JM, Jeganathan F, Eve P, Donovan A, Hayes A, Wood F, Raynaud FI, Fedorov O, Brennan PE, Burke R, van Montfort RLM, Rossanese OW, Blagg J, Bavetsias V.

Eur J Med Chem. 2019 Sep 1;177:316-337. doi: 10.1016/j.ejmech.2019.05.041. Epub 2019 May 17.

6.

Solubilization of organics I: 1 H NMR chemical shift perturbations, diffusometry, and NOESY indicate biphenyls internalize in micelles formed by cetyltrimethylammonium bromide.

Peroza CA, Chen F, Wurster DE, Velupillai SM.

Magn Reson Chem. 2019 Dec;57(12):1097-1106. doi: 10.1002/mrc.4891. Epub 2019 Jun 20.

PMID:
31090226
7.

Rapid Covalent-Probe Discovery by Electrophile-Fragment Screening.

Resnick E, Bradley A, Gan J, Douangamath A, Krojer T, Sethi R, Geurink PP, Aimon A, Amitai G, Bellini D, Bennett J, Fairhead M, Fedorov O, Gabizon R, Gan J, Guo J, Plotnikov A, Reznik N, Ruda GF, Díaz-Sáez L, Straub VM, Szommer T, Velupillai S, Zaidman D, Zhang Y, Coker AR, Dowson CG, Barr HM, Wang C, Huber KVM, Brennan PE, Ovaa H, von Delft F, London N.

J Am Chem Soc. 2019 Jun 5;141(22):8951-8968. doi: 10.1021/jacs.9b02822. Epub 2019 May 22.

8.

Risk Assessment Tools and Data-Driven Approaches for Predicting and Preventing Suicidal Behavior.

Velupillai S, Hadlaczky G, Baca-Garcia E, Gorrell GM, Werbeloff N, Nguyen D, Patel R, Leightley D, Downs J, Hotopf M, Dutta R.

Front Psychiatry. 2019 Feb 13;10:36. doi: 10.3389/fpsyt.2019.00036. eCollection 2019.

9.

Design, Synthesis and Characterization of Covalent KDM5 Inhibitors.

Vazquez-Rodriguez S, Wright M, Rogers CM, Cribbs AP, Velupillai S, Philpott M, Lee H, Dunford JE, Huber KVM, Robers MB, Vasta JD, Thezenas ML, Bonham S, Kessler B, Bennett J, Fedorov O, Raynaud F, Donovan A, Blagg J, Bavetsias V, Oppermann U, Bountra C, Kawamura A, Brennan PE.

Angew Chem Int Ed Engl. 2019 Jan 8;58(2):515-519. doi: 10.1002/anie.201810179. Epub 2018 Dec 7.

10.

Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances.

Velupillai S, Suominen H, Liakata M, Roberts A, Shah AD, Morley K, Osborn D, Hayes J, Stewart R, Downs J, Chapman W, Dutta R.

J Biomed Inform. 2018 Dec;88:11-19. doi: 10.1016/j.jbi.2018.10.005. Epub 2018 Oct 24.

11.

Cross Disciplinary Consultancy to Bridge Public Health Technical Needs and Analytic Developers: Negation Detection Use Case.

Conway M, Mowery D, Ising A, Velupillai S, Doan S, Gunn J, Donovan M, Wiedeman C, Ballester L, Soetebier K, Tong C, Burkom H.

Online J Public Health Inform. 2018 Sep 21;10(2):e209. doi: 10.5210/ojphi.v10i2.8944. eCollection 2018.

12.

Knowledge patterns for online health portal development.

Andrenucci A, Dalianis H, Velupillai S.

Health Informatics J. 2019 Dec;25(4):1779-1799. doi: 10.1177/1460458218796601. Epub 2018 Sep 20.

PMID:
30232926
13.

Knowledge discovery for Deep Phenotyping serious mental illness from Electronic Mental Health records.

Jackson R, Patel R, Velupillai S, Gkotsis G, Hoyle D, Stewart R.

Version 2. F1000Res. 2018 Feb 21 [revised 2018 Jan 1];7:210. doi: 10.12688/f1000research.13830.2. eCollection 2018.

14.

Detection of Suicidality in Adolescents with Autism Spectrum Disorders: Developing a Natural Language Processing Approach for Use in Electronic Health Records.

Downs J, Velupillai S, George G, Holden R, Kikoler M, Dean H, Fernandes A, Dutta R.

AMIA Annu Symp Proc. 2018 Apr 16;2017:641-649. eCollection 2017.

15.

Identifying Suicide Ideation and Suicidal Attempts in a Psychiatric Clinical Research Database using Natural Language Processing.

Fernandes AC, Dutta R, Velupillai S, Sanyal J, Stewart R, Chandran D.

Sci Rep. 2018 May 9;8(1):7426. doi: 10.1038/s41598-018-25773-2.

16.

Clinical Natural Language Processing in languages other than English: opportunities and challenges.

Névéol A, Dalianis H, Velupillai S, Savova G, Zweigenbaum P.

J Biomed Semantics. 2018 Mar 30;9(1):12. doi: 10.1186/s13326-018-0179-8. Review.

17.

Corrigendum: Characterisation of mental health conditions in social media using Informed Deep Learning.

Gkotsis G, Oellrich A, Velupillai S, Liakata M, Hubbard TJP, Dobson RJB, Dutta R.

Sci Rep. 2017 May 16;7:46813. doi: 10.1038/srep46813. No abstract available.

18.

Characterisation of mental health conditions in social media using Informed Deep Learning.

Gkotsis G, Oellrich A, Velupillai S, Liakata M, Hubbard TJ, Dobson RJ, Dutta R.

Sci Rep. 2017 Mar 22;7:45141. doi: 10.1038/srep45141. Erratum in: Sci Rep. 2017 May 16;7:46813.

19.

Potent and Selective KDM5 Inhibitor Stops Cellular Demethylation of H3K4me3 at Transcription Start Sites and Proliferation of MM1S Myeloma Cells.

Tumber A, Nuzzi A, Hookway ES, Hatch SB, Velupillai S, Johansson C, Kawamura A, Savitsky P, Yapp C, Szykowska A, Wu N, Bountra C, Strain-Damerell C, Burgess-Brown NA, Ruda GF, Fedorov O, Munro S, England KS, Nowak RP, Schofield CJ, La Thangue NB, Pawlyn C, Davies F, Morgan G, Athanasou N, Müller S, Oppermann U, Brennan PE.

Cell Chem Biol. 2017 Mar 16;24(3):371-380. doi: 10.1016/j.chembiol.2017.02.006. Epub 2017 Mar 2.

20.

Normalizing acronyms and abbreviations to aid patient understanding of clinical texts: ShARe/CLEF eHealth Challenge 2013, Task 2.

Mowery DL, South BR, Christensen L, Leng J, Peltonen LM, Salanterä S, Suominen H, Martinez D, Velupillai S, Elhadad N, Savova G, Pradhan S, Chapman WW.

J Biomed Semantics. 2016 Jul 1;7:43. doi: 10.1186/s13326-016-0084-y.

21.

Structural analysis of human KDM5B guides histone demethylase inhibitor development.

Johansson C, Velupillai S, Tumber A, Szykowska A, Hookway ES, Nowak RP, Strain-Damerell C, Gileadi C, Philpott M, Burgess-Brown N, Wu N, Kopec J, Nuzzi A, Steuber H, Egner U, Badock V, Munro S, LaThangue NB, Westaway S, Brown J, Athanasou N, Prinjha R, Brennan PE, Oppermann U.

Nat Chem Biol. 2016 Jul;12(7):539-45. doi: 10.1038/nchembio.2087. Epub 2016 May 23.

PMID:
27214403
22.

8-Substituted Pyrido[3,4-d]pyrimidin-4(3H)-one Derivatives As Potent, Cell Permeable, KDM4 (JMJD2) and KDM5 (JARID1) Histone Lysine Demethylase Inhibitors.

Bavetsias V, Lanigan RM, Ruda GF, Atrash B, McLaughlin MG, Tumber A, Mok NY, Le Bihan YV, Dempster S, Boxall KJ, Jeganathan F, Hatch SB, Savitsky P, Velupillai S, Krojer T, England KS, Sejberg J, Thai C, Donovan A, Pal A, Scozzafava G, Bennett JM, Kawamura A, Johansson C, Szykowska A, Gileadi C, Burgess-Brown NA, von Delft F, Oppermann U, Walters Z, Shipley J, Raynaud FI, Westaway SM, Prinjha RK, Fedorov O, Burke R, Schofield CJ, Westwood IM, Bountra C, Müller S, van Montfort RL, Brennan PE, Blagg J.

J Med Chem. 2016 Feb 25;59(4):1388-409. doi: 10.1021/acs.jmedchem.5b01635. Epub 2016 Jan 7.

23.

Docking and Linking of Fragments To Discover Jumonji Histone Demethylase Inhibitors.

Korczynska M, Le DD, Younger N, Gregori-Puigjané E, Tumber A, Krojer T, Velupillai S, Gileadi C, Nowak RP, Iwasa E, Pollock SB, Ortiz Torres I, Oppermann U, Shoichet BK, Fujimori DG.

J Med Chem. 2016 Feb 25;59(4):1580-98. doi: 10.1021/acs.jmedchem.5b01527. Epub 2015 Dec 23.

24.

Recent Advances in Clinical Natural Language Processing in Support of Semantic Analysis.

Velupillai S, Mowery D, South BR, Kvist M, Dalianis H.

Yearb Med Inform. 2015 Aug 13;10(1):183-93. doi: 10.15265/IY-2015-009. Review.

25.

Louhi 2014: Special issue on health text mining and information analysis.

Velupillai S, Duneld M, Henriksson A, Kvist M, Skeppstedt M, Dalianis H.

BMC Med Inform Decis Mak. 2015;15 Suppl 2:S1. doi: 10.1186/1472-6947-15-S2-S1. Epub 2015 Jun 15. No abstract available.

26.

Random nanostructured metallic films for environmental monitoring and optical sensing: experimental and computational studies.

Karbovnyk I, Collins J, Bolesta I, Stelmashchuk A, Kolkevych A, Velupillai S, Klym H, Fedyshyn O, Tymoshuk S, Kolych I.

Nanoscale Res Lett. 2015 Mar 27;10:151. doi: 10.1186/s11671-015-0855-x. eCollection 2015.

27.

Phosphorylation of synaptic vesicle protein 2A at Thr84 by casein kinase 1 family kinases controls the specific retrieval of synaptotagmin-1.

Zhang N, Gordon SL, Fritsch MJ, Esoof N, Campbell DG, Gourlay R, Velupillai S, Macartney T, Peggie M, van Aalten DM, Cousin MA, Alessi DR.

J Neurosci. 2015 Feb 11;35(6):2492-507. doi: 10.1523/JNEUROSCI.4248-14.2015.

28.

Towards a Generalizable Time Expression Model for Temporal Reasoning in Clinical Notes.

Velupillai S, Mowery DL, Abdelrahman S, Christensen L, Chapman WW.

AMIA Annu Symp Proc. 2015 Nov 5;2015:1252-9. eCollection 2015.

29.

Abbreviations in Swedish Clinical Text--use by three professions.

Lövestam E, Velupillai S, Kvist M.

Stud Health Technol Inform. 2014;205:720-4.

PMID:
25160281
30.

Cue-based assertion classification for Swedish clinical text--developing a lexicon for pyConTextSwe.

Velupillai S, Skeppstedt M, Kvist M, Mowery D, Chapman BE, Dalianis H, Chapman WW.

Artif Intell Med. 2014 Jul;61(3):137-44. doi: 10.1016/j.artmed.2014.01.001. Epub 2014 Jan 25.

31.

Extending the NegEx lexicon for multiple languages.

Chapman WW, Hillert D, Velupillai S, Kvist M, Skeppstedt M, Chapman BE, Conway M, Tharp M, Mowery DL, Deleger L.

Stud Health Technol Inform. 2013;192:677-81.

32.

Suspension verdict for doctor treating torture victims is unfair.

Moulson A, Bailey A, Bashir H, Cornell JS, Lewis D, Nelki J, Newmark J, Speight N, Velupillai S.

BMJ. 2013 Apr 10;346:f2131. doi: 10.1136/bmj.f2131. No abstract available.

PMID:
23575928
33.

Characteristics of Finnish and Swedish intensive care nursing narratives: a comparative analysis to support the development of clinical language technologies.

Allvin H, Carlsson E, Dalianis H, Danielsson-Ojala R, Daudaravičius V, Hassel M, Kokkinakis D, Lundgrén-Laine H, Nilsson GH, Nytrø O, Salanterä S, Skeppstedt M, Suominen H, Velupillai S.

J Biomed Semantics. 2011;2 Suppl 3:S1. doi: 10.1186/2041-1480-2-S3-S1. Epub 2011 Jul 14.

34.

Louhi 2010: Special issue on Text and Data Mining of Health Documents.

Dalianis H, Hassel M, Velupillai S.

J Biomed Semantics. 2011;2 Suppl 3:I1. doi: 10.1186/2041-1480-2-S3-I1. Epub 2011 Jul 14.

35.

Factuality levels of diagnoses in Swedish clinical text.

Velupillai S, Dalianis H, Kvist M.

Stud Health Technol Inform. 2011;169:559-63.

PMID:
21893811
36.

De-identifying Swedish clinical text - refinement of a gold standard and experiments with Conditional random fields.

Dalianis H, Velupillai S.

J Biomed Semantics. 2010 Apr 12;1(1):6. doi: 10.1186/2041-1480-1-6.

37.

Developing a standard for de-identifying electronic patient records written in Swedish: precision, recall and F-measure in a manual and computerized annotation trial.

Velupillai S, Dalianis H, Hassel M, Nilsson GH.

Int J Med Inform. 2009 Dec;78(12):e19-26. doi: 10.1016/j.ijmedinf.2009.04.005. Epub 2009 May 23.

PMID:
19482543
38.

Laboratory coherent-scatter analysis of intact urinary stones with crystalline composition: a tomographic approach.

Davidson MT, Batchelar DL, Velupillai S, Denstedt JD, Cunningham IA.

Phys Med Biol. 2005 Aug 21;50(16):3907-25. Epub 2005 Aug 2.

PMID:
16077235
39.

Analysis of urinary stone components by x-ray coherent scatter: characterizing composition beyond laboratory x-ray diffractometry.

Davidson MT, Batchelar DL, Velupillai S, Denstedt JD, Cunningham IA.

Phys Med Biol. 2005 Aug 21;50(16):3773-86. Epub 2005 Jul 28.

PMID:
16077226

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