Floudas CA - Search Results

1

Proteomics for the discovery of biomarkers and diagnosis of periodontitis: a critical review.

Guzman YA, Sakellari D, Arsenakis M, Floudas CA. Guzman YA, et al. Among authors: floudas ca. Expert Rev Proteomics. 2014 Feb;11(1):31-41. doi: 10.1586/14789450.2014.864953. Epub 2013 Nov 26. Expert Rev Proteomics. 2014. PMID: 24308552 Review.

2

Discovery of biomarker combinations that predict periodontal health or disease with high accuracy from GCF samples based on high-throughput proteomic analysis and mixed-integer linear optimization.

Baliban RC, Sakellari D, Li Z, Guzman YA, Garcia BA, Floudas CA. Baliban RC, et al. Among authors: floudas ca. J Clin Periodontol. 2013 Feb;40(2):131-9. doi: 10.1111/jcpe.12037. Epub 2012 Nov 29. J Clin Periodontol. 2013. PMID: 23190455 Free PMC article.

3

High-throughput proteomic analysis of candidate biomarker changes in gingival crevicular fluid after treatment of chronic periodontitis.

Guzman YA, Sakellari D, Papadimitriou K, Floudas CA. Guzman YA, et al. Among authors: floudas ca. J Periodontal Res. 2018 Oct;53(5):853-860. doi: 10.1111/jre.12575. Epub 2018 Jun 14. J Periodontal Res. 2018. PMID: 29900535 Free PMC article.

4

Novel protein identification methods for biomarker discovery via a proteomic analysis of periodontally healthy and diseased gingival crevicular fluid samples.

Baliban RC, Sakellari D, Li Z, DiMaggio PA, Garcia BA, Floudas CA. Baliban RC, et al. Among authors: floudas ca. J Clin Periodontol. 2012 Mar;39(3):203-12. doi: 10.1111/j.1600-051X.2011.01805.x. Epub 2011 Nov 10. J Clin Periodontol. 2012. PMID: 22092770 Free PMC article.

5

Highly Accurate Structure-Based Prediction of HIV-1 Coreceptor Usage Suggests Intermolecular Interactions Driving Tropism.

Kieslich CA, Tamamis P, Guzman YA, Onel M, Floudas CA. Kieslich CA, et al. Among authors: floudas ca. PLoS One. 2016 Feb 9;11(2):e0148974. doi: 10.1371/journal.pone.0148974. eCollection 2016. PLoS One. 2016. PMID: 26859389 Free PMC article.

6

Big Data Approach to Batch Process Monitoring: Simultaneous Fault Detection and Diagnosis Using Nonlinear Support Vector Machine-based Feature Selection.

Onel M, Kieslich CA, Guzman YA, Floudas CA, Pistikopoulos EN. Onel M, et al. Among authors: floudas ca. Comput Chem Eng. 2018 Jul 12;115:46-63. doi: 10.1016/j.compchemeng.2018.03.025. Epub 2018 Mar 28. Comput Chem Eng. 2018. PMID: 30386002 Free PMC article.

7

Princeton_TIGRESS 2.0: High refinement consistency and net gains through support vector machines and molecular dynamics in double-blind predictions during the CASP11 experiment.

Khoury GA, Smadbeck J, Kieslich CA, Koskosidis AJ, Guzman YA, Tamamis P, Floudas CA. Khoury GA, et al. Among authors: floudas ca. Proteins. 2017 Jun;85(6):1078-1098. doi: 10.1002/prot.25274. Epub 2017 Mar 21. Proteins. 2017. PMID: 28241391

8

Proteomic interrogation of human chromatin.

Torrente MP, Zee BM, Young NL, Baliban RC, LeRoy G, Floudas CA, Hake SB, Garcia BA. Torrente MP, et al. Among authors: floudas ca. PLoS One. 2011;6(9):e24747. doi: 10.1371/journal.pone.0024747. Epub 2011 Sep 14. PLoS One. 2011. PMID: 21935452 Free PMC article.

9

A mixed integer linear optimization framework for the identification and quantification of targeted post-translational modifications of highly modified proteins using multiplexed electron transfer dissociation tandem mass spectrometry.

DiMaggio PA Jr, Young NL, Baliban RC, Garcia BA, Floudas CA. DiMaggio PA Jr, et al. Among authors: floudas ca. Mol Cell Proteomics. 2009 Nov;8(11):2527-43. doi: 10.1074/mcp.M900144-MCP200. Epub 2009 Aug 7. Mol Cell Proteomics. 2009. PMID: 19666874 Free PMC article.

10

PILOT_PROTEIN: identification of unmodified and modified proteins via high-resolution mass spectrometry and mixed-integer linear optimization.

Baliban RC, Dimaggio PA, Plazas-Mayorca MD, Garcia BA, Floudas CA. Baliban RC, et al. Among authors: floudas ca. J Proteome Res. 2012 Sep 7;11(9):4615-29. doi: 10.1021/pr300418j. Epub 2012 Jul 26. J Proteome Res. 2012. PMID: 22788846 Free PMC article.

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