Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Hasige A. Sathish"'
Publikováno v:
mAbs, Vol 14, Iss 1 (2022)
Machine learning has been recently used to predict therapeutic antibody aggregation rates and viscosity at high concentrations (150 mg/ml). These works focused on commercially available antibodies, which may have been optimized for stability. In this
Externí odkaz:
https://doaj.org/article/f4ca71bf37414333844364400a211ee9
Publikováno v:
Molecular Pharmaceutics. 17:3589-3599
Preferential interactions of formulation excipients govern their impact on the stability properties of proteins in solution. The ability to predict these interactions without the need to perform experiments would enable formulation design to begin ea
Publikováno v:
Molecular Pharmaceutics. 16:3657-3664
Preferential interactions of formulation excipients govern their overall interactions with protein molecules, and molecular dynamics simulations allow for the examination of the interactions at the molecular level. We used molecular dynamics simulati
Autor:
Glenn M. Ferreira, Christopher J. Roberts, Cesar Calero-Rubio, Hasige A. Sathish, Richard L. Remmele
Publikováno v:
Journal of Pharmaceutical Sciences. 108:120-132
Electrostatically mediated protein-protein interactions (PPI) can influence key product properties such as solubility, solution viscosity, and aggregation rates. Predictive models would allow for candidates/formulations to be screened with little or
Autor:
Hassan Shahfar, Glenn M. Ferreira, Hasige A. Sathish, Christopher J. Roberts, Richard L. Remmele
Publikováno v:
The journal of physical chemistry. B. 123(50)
Attractive electrostatic protein-protein interactions (PPI) necessarily involve identifying oppositely charged regions of the protein surface that interact favorably. This cannot be done reliably if one only considers a single protein in isolation un
Publikováno v:
Springer US
Purpose To investigate differences in the preferential exclusion of trehalose, sucrose, sorbitol and mannitol from the surface of three IgG1 monoclonal antibodies (mAbs) and understand its effect on the aggregation and reversible self-association of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::704d2ef789a05cae762deee284440866
https://hdl.handle.net/1721.1/131512
https://hdl.handle.net/1721.1/131512
Publikováno v:
The journal of physical chemistry. B. 122(40)
The CHARMM36 carbohydrate parameter set did not adequately reproduce experimental thermodynamic data of carbohydrate interactions with water or proteins or carbohydrate self-association; thus, a new nonbonded parameter set for carbohydrates was devel
Autor:
Jayant Arora, Sangeeta B. Joshi, David D. Weis, Yue Hu, Hasige A. Sathish, C. Russell Middaugh, David B. Volkin, Steven M. Bishop, Reza Esfandiary
Publikováno v:
mAbs. 8(8)
Concentration-dependent reversible self-association (RSA) of monoclonal antibodies (mAbs) poses a challenge to their pharmaceutical development as viable candidates for subcutaneous delivery. While the role of the antigen-binding fragment (Fab) in in
Autor:
Steven M. Bishop, David B. Volkin, Jae Hyun Kim, C. Russell Middaugh, Hasige A. Sathish, Sangeeta B. Joshi, Santosh V. Thakkar, Hardeep S. Samra
Publikováno v:
Journal of Pharmaceutical Sciences. 101:4444-4457
A molecular understanding of excipient effects on the interrelationship(s) between dynamics and conformational stability of proteins, such as monoclonal antibodies (mAbs), can be important for their pharmaceutical development. The current study exami
Autor:
Timothy M. Lauer, Hardeep S. Samra, Bernhardt L. Trout, David Farkas, Geoffrey P. F. Wood, Hasige A. Sathish
Publikováno v:
Biochemistry. 55(23)
A number of potential degradation routes can limit the shelf life of a biotherapeutic. While these are experimentally measurable, the tests to do so require a substantial investment in both time and material, resources rarely available early in the d