Christopher P. Calderon - Search Results

Year	Number of Results
2002	1
2007	1
2008	1
2009	7
2010	2
2011	1
2013	2
2014	2
2015	2
2016	1
2017	1
2018	1
2020	2
2021	3
2022	4
2023	1
2024	3

1

Motion of VAPB molecules reveals ER-mitochondria contact site subdomains.

Obara CJ, Nixon-Abell J, Moore AS, Riccio F, Hoffman DP, Shtengel G, Xu CS, Schaefer K, Pasolli HA, Masson JB, Hess HF, Calderon CP, Blackstone C, Lippincott-Schwartz J. Obara CJ, et al. Among authors: calderon cp. Nature. 2024 Feb;626(7997):169-176. doi: 10.1038/s41586-023-06956-y. Epub 2024 Jan 24. Nature. 2024. PMID: 38267577 Free PMC article.

2

Correction: Calderon, C.P. Data-Driven Techniques for Detecting Dynamical State Changes in Noisily Measured 3D Single-Molecule Trajectories. Molecules 19, 18381-18398.

Calderon CP. Calderon CP. Molecules. 2015 Feb 9;20(2):2828-30. doi: 10.3390/molecules20022828. Molecules. 2015. PMID: 25671332 Free PMC article.

3

Enhanced Diffusive Transport in Fluctuating Porous Media.

Sarfati R, Calderon CP, Schwartz DK. Sarfati R, et al. Among authors: calderon cp. ACS Nano. 2021 Apr 27;15(4):7392-7398. doi: 10.1021/acsnano.1c00744. Epub 2021 Apr 1. ACS Nano. 2021. PMID: 33793204

4

P-SPLINES USING DERIVATIVE INFORMATION.

Calderon CP, Martinez JG, Carroll RJ, Sorensen DC. Calderon CP, et al. Multiscale Model Simul. 2010;8(4):1562-1580. doi: 10.1137/090768102. Multiscale Model Simul. 2010. PMID: 21691592 Free PMC article.

5

Testing Precision Limits of Neural Network-Based Quality Control Metrics in High-Throughput Digital Microscopy.

Calderon CP, Ripple DC, Srinivasan C, Ma Y, Carrier MJ, Randolph TW, O'Connor TF. Calderon CP, et al. Pharm Res. 2022 Feb;39(2):263-279. doi: 10.1007/s11095-021-03130-9. Epub 2022 Jan 26. Pharm Res. 2022. PMID: 35080706

6

Machine Learning Analysis Provides Insight into Mechanisms of Protein Particle Formation Inside Containers During Mechanical Agitation.

Thite NG, Ghazvini S, Wallace N, Feldman N, Calderon CP, Randolph TW. Thite NG, et al. Among authors: calderon cp. J Pharm Sci. 2022 Oct;111(10):2730-2744. doi: 10.1016/j.xphs.2022.06.017. Epub 2022 Jul 11. J Pharm Sci. 2022. PMID: 35835184 Free PMC article.

7

Interfacial Adsorption Controls Particle Formation in Antibody Formulations Subjected to Extensional Flows and Hydrodynamic Shear.

Thite NG, Ghazvini S, Wallace N, Feldman N, Calderon CP, Randolph TW. Thite NG, et al. Among authors: calderon cp. J Pharm Sci. 2023 Nov;112(11):2766-2777. doi: 10.1016/j.xphs.2023.07.010. Epub 2023 Jul 13. J Pharm Sci. 2023. PMID: 37453529

8

Machine learning approaches to root cause analysis, characterization, and monitoring of subvisible particles in monoclonal antibody formulations.

Greenblott DN, Zhang J, Calderon CP, Randolph TW. Greenblott DN, et al. Among authors: calderon cp. Biotechnol Bioeng. 2022 Dec;119(12):3596-3611. doi: 10.1002/bit.28239. Epub 2022 Oct 3. Biotechnol Bioeng. 2022. PMID: 36124935

9

Combining Machine Learning and Backgrounded Membrane Imaging: A Case Study in Comparing and Classifying Different Types of Biopharmaceutically Relevant Particles.

Calderon CP, Krhač Levačić A, Helbig C, Wuchner K, Menzen T. Calderon CP, et al. J Pharm Sci. 2022 Sep;111(9):2422-2434. doi: 10.1016/j.xphs.2022.05.022. Epub 2022 Jun 1. J Pharm Sci. 2022. PMID: 35661758 Free PMC article.

10

Machine Learning and Accelerated Stress Approaches to Differentiate Potential Causes of Aggregation in Polyclonal Antibody Formulations During Shipping.

Witeof AE, Daniels AL, Rea LT, Movafaghi S, Kurtz K, Davis M, Eveland RW, Calderon CP, Randolph TW. Witeof AE, et al. Among authors: calderon cp. J Pharm Sci. 2021 Jul;110(7):2743-2752. doi: 10.1016/j.xphs.2021.02.029. Epub 2021 Feb 27. J Pharm Sci. 2021. PMID: 33647275

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