Leiderman K - Search Results

1

Characterizing the topography of membrane receptors and signaling molecules from spatial patterns obtained using nanometer-scale electron-dense probes and electron microscopy.

Zhang J, Leiderman K, Pfeiffer JR, Wilson BS, Oliver JM, Steinberg SL. Zhang J, et al. Among authors: leiderman k. Micron. 2006;37(1):14-34. doi: 10.1016/j.micron.2005.03.014. Epub 2005 Jul 11. Micron. 2006. PMID: 16081296 Review.

2

Membrane receptor mapping: the membrane topography of Fc(epsilon)RI signaling.

Oliver JM, Pfeiffer JR, Surviladze Z, Steinberg SL, Leiderman K, Sanders ML, Wofsy C, Zhang J, Fan H, Andrews N, Bunge S, Boyle TJ, Kotula P, Wilson BS. Oliver JM, et al. Among authors: leiderman k. Subcell Biochem. 2004;37:3-34. Subcell Biochem. 2004. PMID: 15376617 Review.

3

High-Resolution Models of Motion of Macromolecules in Cell Membranes.

Leiderman K, Steinberg S. Leiderman K, et al. Math Comput Simul. 2008 Apr 4;77(4):383-399. doi: 10.1016/j.matcom.2007.03.008. Math Comput Simul. 2008. PMID: 19347036 Free PMC article.

4

A Mathematical Model of Bivalent Binding Suggests Physical Trapping of Thrombin within Fibrin Fibers.

Kelley M, Leiderman K. Kelley M, et al. Among authors: leiderman k. Biophys J. 2019 Oct 15;117(8):1442-1455. doi: 10.1016/j.bpj.2019.09.003. Epub 2019 Sep 13. Biophys J. 2019. PMID: 31586524 Free PMC article.

5

A MATHEMATICAL MODEL OF PLATELET AGGREGATION IN AN EXTRAVASCULAR INJURY UNDER FLOW.

Link KG, Sorrells MG, Danes NA, Neeves KB, Leiderman K, Fogelson AL. Link KG, et al. Among authors: leiderman k. Multiscale Model Simul. 2020;18(4):1489-1524. doi: 10.1137/20m1317785. Epub 2020 Nov 18. Multiscale Model Simul. 2020. PMID: 33867873 Free PMC article.

6

A density-dependent FEM-FCT algorithm with application to modeling platelet aggregation.

Danes NA, Leiderman K. Danes NA, et al. Among authors: leiderman k. Int J Numer Method Biomed Eng. 2019 Sep;35(9):e3212. doi: 10.1002/cnm.3212. Epub 2019 Jul 9. Int J Numer Method Biomed Eng. 2019. PMID: 31117155 Free PMC article.

7

Mathematical modeling to understand the role of bivalent thrombin-fibrin binding during polymerization.

Kelley MA, Leiderman K. Kelley MA, et al. Among authors: leiderman k. PLoS Comput Biol. 2022 Sep 15;18(9):e1010414. doi: 10.1371/journal.pcbi.1010414. eCollection 2022 Sep. PLoS Comput Biol. 2022. PMID: 36107837 Free PMC article.

8

A mathematical model of coagulation under flow identifies factor V as a modifier of thrombin generation in hemophilia A.

Link KG, Stobb MT, Sorrells MG, Bortot M, Ruegg K, Manco-Johnson MJ, Di Paola JA, Sindi SS, Fogelson AL, Leiderman K, Neeves KB. Link KG, et al. Among authors: leiderman k. J Thromb Haemost. 2020 Feb;18(2):306-317. doi: 10.1111/jth.14653. Epub 2019 Nov 1. J Thromb Haemost. 2020. PMID: 31562694 Free PMC article.

9

Assessing the impact of product inhibition in a chromogenic assay.

Stobb MT, Monroe DM, Leiderman K, Sindi SS. Stobb MT, et al. Among authors: leiderman k. Anal Biochem. 2019 Sep 1;580:62-71. doi: 10.1016/j.ab.2019.05.001. Epub 2019 May 12. Anal Biochem. 2019. PMID: 31091429

10

Computationally Driven Discovery in Coagulation.

Link KG, Stobb MT, Monroe DM, Fogelson AL, Neeves KB, Sindi SS, Leiderman K. Link KG, et al. Among authors: leiderman k. Arterioscler Thromb Vasc Biol. 2021 Jan;41(1):79-86. doi: 10.1161/ATVBAHA.120.314648. Epub 2020 Oct 29. Arterioscler Thromb Vasc Biol. 2021. PMID: 33115272 Free PMC article. Review.

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