Cloutier T - Search Results

1

Airway surface liquid thickness as a function of lung volume in small airways of the guinea pig.

Yager D, Cloutier T, Feldman H, Bastacky J, Drazen JM, Kamm RD. Yager D, et al. Among authors: cloutier t. J Appl Physiol (1985). 1994 Nov;77(5):2333-40. doi: 10.1152/jappl.1994.77.5.2333. J Appl Physiol (1985). 1994. PMID: 7868452

2

Salt-induced hypertension in Dahl salt-resistant and salt-sensitive rats with NOS II inhibition.

Rudd MA, Trolliet M, Hope S, Scribner AW, Daumerie G, Toolan G, Cloutier T, Loscalzo J. Rudd MA, et al. Among authors: cloutier t. Am J Physiol. 1999 Aug;277(2):H732-9. doi: 10.1152/ajpheart.1999.277.2.H732. Am J Physiol. 1999. PMID: 10444500

3

Quantitative photogrammetric methodology for measuring mammalian belly score in the painted dog.

Rasmussen G, Smultea M, Cloutier T, Giordano A, Kaplin B, Willey L. Rasmussen G, et al. Among authors: cloutier t. PLoS One. 2021 Dec 14;16(12):e0261171. doi: 10.1371/journal.pone.0261171. eCollection 2021. PLoS One. 2021. PMID: 34905569 Free PMC article.

4

Machine Learning Applied to Determine the Molecular Descriptors Responsible for the Viscosity Behavior of Concentrated Therapeutic Antibodies.

Lai PK, Fernando A, Cloutier TK, Gokarn Y, Zhang J, Schwenger W, Chari R, Calero-Rubio C, Trout BL. Lai PK, et al. Among authors: cloutier tk. Mol Pharm. 2021 Mar 1;18(3):1167-1175. doi: 10.1021/acs.molpharmaceut.0c01073. Epub 2021 Jan 15. Mol Pharm. 2021. PMID: 33450157

5

Machine Learning Feature Selection for Predicting High Concentration Therapeutic Antibody Aggregation.

Lai PK, Fernando A, Cloutier TK, Kingsbury JS, Gokarn Y, Halloran KT, Calero-Rubio C, Trout BL. Lai PK, et al. Among authors: cloutier tk. J Pharm Sci. 2021 Apr;110(4):1583-1591. doi: 10.1016/j.xphs.2020.12.014. Epub 2020 Dec 18. J Pharm Sci. 2021. PMID: 33346034

6

Molecular computations of preferential interactions of proline, arginine.HCl, and NaCl with IgG1 antibodies and their impact on aggregation and viscosity.

Cloutier TK, Sudrik C, Mody N, Hasige SA, Trout BL. Cloutier TK, et al. MAbs. 2020 Jan-Dec;12(1):1816312. doi: 10.1080/19420862.2020.1816312. MAbs. 2020. PMID: 32938318 Free PMC article.

7

Machine Learning Models of Antibody-Excipient Preferential Interactions for Use in Computational Formulation Design.

Cloutier TK, Sudrik C, Mody N, Sathish HA, Trout BL. Cloutier TK, et al. Mol Pharm. 2020 Sep 8;17(9):3589-3599. doi: 10.1021/acs.molpharmaceut.0c00629. Epub 2020 Aug 25. Mol Pharm. 2020. PMID: 32794710

8

Molecular Computations of Preferential Interaction Coefficients of IgG1 Monoclonal Antibodies with Sorbitol, Sucrose, and Trehalose and the Impact of These Excipients on Aggregation and Viscosity.

Cloutier T, Sudrik C, Mody N, Sathish HA, Trout BL. Cloutier T, et al. Mol Pharm. 2019 Aug 5;16(8):3657-3664. doi: 10.1021/acs.molpharmaceut.9b00545. Epub 2019 Jul 17. Mol Pharm. 2019. PMID: 31276620

9

Understanding the Role of Preferential Exclusion of Sugars and Polyols from Native State IgG1 Monoclonal Antibodies and its Effect on Aggregation and Reversible Self-Association.

Sudrik CM, Cloutier T, Mody N, Sathish HA, Trout BL. Sudrik CM, et al. Among authors: cloutier t. Pharm Res. 2019 May 24;36(8):109. doi: 10.1007/s11095-019-2642-3. Pharm Res. 2019. PMID: 31127417

10

Kirkwood-Buff-Derived Alcohol Parameters for Aqueous Carbohydrates and Their Application to Preferential Interaction Coefficient Calculations of Proteins.

Cloutier T, Sudrik C, Sathish HA, Trout BL. Cloutier T, et al. J Phys Chem B. 2018 Oct 11;122(40):9350-9360. doi: 10.1021/acs.jpcb.8b07623. Epub 2018 Sep 27. J Phys Chem B. 2018. PMID: 30216067

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