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Items: 1 to 20 of 32

1.

Recruitment of Tiam1 to Semaphorin 4D Activates Rac and Enhances Proliferation, Invasion, and Metastasis in Oral Squamous Cell Carcinoma.

Zhou H, Kann MG, Mallory EK, Yang YH, Bugshan A, Binmadi NO, Basile JR.

Neoplasia. 2016 Dec 27;19(2):65-74. doi: 10.1016/j.neo.2016.12.004. [Epub ahead of print]

2.

Regulatory Single-Nucleotide Variant Predictor Increases Predictive Performance of Functional Regulatory Variants.

Peterson TA, Mort M, Cooper DN, Radivojac P, Kann MG, Mooney SD.

Hum Mutat. 2016 Nov;37(11):1137-1143. doi: 10.1002/humu.23049.

PMID:
27406314
3.

Mac-1 Regulates IL-13 Activity in Macrophages by Directly Interacting with IL-13Rα1.

Cao C, Zhao J, Doughty EK, Migliorini M, Strickland DK, Kann MG, Zhang L.

J Biol Chem. 2015 Aug 28;290(35):21642-51. doi: 10.1074/jbc.M115.645796.

4.

Small-angle X-ray scattering method to characterize molecular interactions: Proof of concept.

Allec N, Choi M, Yesupriya N, Szychowski B, White MR, Kann MG, Garcin ED, Daniel MC, Badano A.

Sci Rep. 2015 Jul 10;5:12085. doi: 10.1038/srep12085.

5.

Hybrid curation of gene-mutation relations combining automated extraction and crowdsourcing.

Burger JD, Doughty E, Khare R, Wei CH, Mishra R, Aberdeen J, Tresner-Kirsch D, Wellner B, Kann MG, Lu Z, Hirschman L.

Database (Oxford). 2014 Sep 22;2014. pii: bau094. doi: 10.1093/database/bau094.

6.

Domain landscapes of somatic mutations in cancer.

Peterson TA, Park D, Kann MG.

AMIA Jt Summits Transl Sci Proc. 2013 Mar 18;2013:136.

PMID:
24303323
7.

Towards precision medicine: advances in computational approaches for the analysis of human variants.

Peterson TA, Doughty E, Kann MG.

J Mol Biol. 2013 Nov 1;425(21):4047-63. doi: 10.1016/j.jmb.2013.08.008. Review.

8.

A protein domain-centric approach for the comparative analysis of human and yeast phenotypically relevant mutations.

Peterson TA, Park D, Kann MG.

BMC Genomics. 2013;14 Suppl 3:S5. doi: 10.1186/1471-2164-14-S3-S5.

9.

Modeling cell heterogeneity: from single-cell variations to mixed cells.

Batchelor E, Kann MG, Przytycka TM, Raphael BJ, Wojtowicz D.

Pac Symp Biocomput. 2013:445-50.

10.

Chapter 4: Protein interactions and disease.

Gonzalez MW, Kann MG.

PLoS Comput Biol. 2012;8(12):e1002819. doi: 10.1371/journal.pcbi.1002819.

11.

Domain landscapes of somatic mutations in cancer.

Nehrt NL, Peterson TA, Park D, Kann MG.

BMC Genomics. 2012 Jun 18;13 Suppl 4:S9. doi: 10.1186/1471-2164-13-S4-S9.

12.

A mutation-centric approach to identifying pharmacogenomic relations in text.

Rance B, Doughty E, Demner-Fushman D, Kann MG, Bodenreider O.

J Biomed Inform. 2012 Oct;45(5):835-41. doi: 10.1016/j.jbi.2012.05.003.

13.

Regulatory role of suppressive motifs from commensal DNA.

Bouladoux N, Hall JA, Grainger JR, dos Santos LM, Kann MG, Nagarajan V, Verthelyi D, Belkaid Y.

Mucosal Immunol. 2012 Nov;5(6):623-34. doi: 10.1038/mi.2012.36.

14.

Translating Mendelian and complex inheritance of Alzheimer's disease genes for predicting unique personal genome variants.

Regan K, Wang K, Doughty E, Li H, Li J, Lee Y, Kann MG, Lussier YA.

J Am Med Inform Assoc. 2012 Mar-Apr;19(2):306-16. doi: 10.1136/amiajnl-2011-000656.

15.

Incorporating molecular and functional context into the analysis and prioritization of human variants associated with cancer.

Peterson TA, Nehrt NL, Park D, Kann MG.

J Am Med Inform Assoc. 2012 Mar-Apr;19(2):275-83. doi: 10.1136/amiajnl-2011-000655.

16.

Bioinformatics for personal genome interpretation.

Capriotti E, Nehrt NL, Kann MG, Bromberg Y.

Brief Bioinform. 2012 Jul;13(4):495-512. Review.

17.

Toward an automatic method for extracting cancer- and other disease-related point mutations from the biomedical literature.

Doughty E, Kertesz-Farkas A, Bodenreider O, Thompson G, Adadey A, Peterson T, Kann MG.

Bioinformatics. 2011 Feb 1;27(3):408-15. doi: 10.1093/bioinformatics/btq667.

18.

DMDM: domain mapping of disease mutations.

Peterson TA, Adadey A, Santana-Cruz I, Sun Y, Winder A, Kann MG.

Bioinformatics. 2010 Oct 1;26(19):2458-9. doi: 10.1093/bioinformatics/btq447.

19.

Threshold Average Precision (TAP-k): a measure of retrieval designed for bioinformatics.

Carroll HD, Kann MG, Sheetlin SL, Spouge JL.

Bioinformatics. 2010 Jul 15;26(14):1708-13. doi: 10.1093/bioinformatics/btq270.

20.

In silico functional profiling of human disease-associated and polymorphic amino acid substitutions.

Mort M, Evani US, Krishnan VG, Kamati KK, Baenziger PH, Bagchi A, Peters BJ, Sathyesh R, Li B, Sun Y, Xue B, Shah NH, Kann MG, Cooper DN, Radivojac P, Mooney SD.

Hum Mutat. 2010 Mar;31(3):335-46. doi: 10.1002/humu.21192.

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