Modeling and mitigation of high-concentration antibody viscosity through structure-based computer-aided protein design

James R Apgar, Amy S P Tam, Rhady Sorm, Sybille Moesta, Amy C King, Han Yang, Kerry Kelleher, Denise Murphy, Aaron M D’Antona, Guoying Yan, Xiaotian Zhong, Linette Rodriguez, Weijun Ma, Darren E Ferguson, Gregory J Carven, Eric M Bennett and Laura Lin

PLOS ONE, 2020, vol. 15, issue 5, 1-26

Abstract: For an antibody to be a successful therapeutic many competing factors require optimization, including binding affinity, biophysical characteristics, and immunogenicity risk. Additional constraints may arise from the need to formulate antibodies at high concentrations (>150 mg/ml) to enable subcutaneous dosing with reasonable volume (ideally

Date: 2020
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0232713 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 32713&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0232713

DOI: 10.1371/journal.pone.0232713

Access Statistics for this article

More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().