Trout BL - Search Results

1

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: trout bl. Mol Pharm. 2021 Mar 1;18(3):1167-1175. doi: 10.1021/acs.molpharmaceut.0c01073. Epub 2021 Jan 15. Mol Pharm. 2021. PMID: 33450157

2

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. Among authors: trout bl. Mol Pharm. 2019 Aug 5;16(8):3657-3664. doi: 10.1021/acs.molpharmaceut.9b00545. Epub 2019 Jul 17. Mol Pharm. 2019. PMID: 31276620

3

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. Among authors: trout bl. Mol Pharm. 2020 Sep 8;17(9):3589-3599. doi: 10.1021/acs.molpharmaceut.0c00629. Epub 2020 Aug 25. Mol Pharm. 2020. PMID: 32794710

4

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: trout bl. 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

5

Calculation of therapeutic antibody viscosity with coarse-grained models, hydrodynamic calculations and machine learning-based parameters.

Lai PK, Swan JW, Trout BL. Lai PK, et al. Among authors: trout bl. MAbs. 2021 Jan-Dec;13(1):1907882. doi: 10.1080/19420862.2021.1907882. MAbs. 2021. PMID: 33834944 Free PMC article.

6

Machine learning prediction of antibody aggregation and viscosity for high concentration formulation development of protein therapeutics.

Lai PK, Gallegos A, Mody N, Sathish HA, Trout BL. Lai PK, et al. Among authors: trout bl. MAbs. 2022 Jan-Dec;14(1):2026208. doi: 10.1080/19420862.2022.2026208. MAbs. 2022. PMID: 35075980 Free PMC article.

7

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. Among authors: trout bl. MAbs. 2020 Jan-Dec;12(1):1816312. doi: 10.1080/19420862.2020.1816312. MAbs. 2020. PMID: 32938318 Free PMC article.

8

Differences in human IgG1 and IgG4 S228P monoclonal antibodies viscosity and self-interactions: Experimental assessment and computational predictions of domain interactions.

Lai PK, Ghag G, Yu Y, Juan V, Fayadat-Dilman L, Trout BL. Lai PK, et al. Among authors: trout bl. MAbs. 2021 Jan-Dec;13(1):1991256. doi: 10.1080/19420862.2021.1991256. MAbs. 2021. PMID: 34747330 Free PMC article.

9

Preferential interactions of trehalose, L-arginine.HCl and sodium chloride with therapeutically relevant IgG1 monoclonal antibodies.

Sudrik C, Cloutier T, Pham P, Samra HS, Trout BL. Sudrik C, et al. Among authors: trout bl. MAbs. 2017 Oct;9(7):1155-1168. doi: 10.1080/19420862.2017.1358328. Epub 2017 Jul 31. MAbs. 2017. PMID: 28758834 Free PMC article.

10

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: trout bl. Pharm Res. 2019 May 24;36(8):109. doi: 10.1007/s11095-019-2642-3. Pharm Res. 2019. PMID: 31127417

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