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pro vyhledávání: '"Peter M Tessier"'
Akademický článek
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Autor:
Emily K. Makowski, Hsin-Ting Chen, Tiexin Wang, Lina Wu, Jie Huang, Marissa Mock, Patrick Underhill, Emma Pelegri-O’Day, Erick Maglalang, Dwight Winters, Peter M. Tessier
Publikováno v:
mAbs, Vol 16, Iss 1 (2024)
ABSTRACTEarly identification of antibody candidates with drug-like properties is essential for simplifying the development of safe and effective antibody therapeutics. For subcutaneous administration, it is important to identify candidates with low s
Externí odkaz:
https://doaj.org/article/36271266403a4691a2dd72e35b369f74
Autor:
Monica L. Fernández-Quintero, Anne Ljungars, Franz Waibl, Victor Greiff, Jan Terje Andersen, Torleif T. Gjølberg, Timothy P. Jenkins, Bjørn Gunnar Voldborg, Lise Marie Grav, Sandeep Kumar, Guy Georges, Hubert Kettenberger, Klaus R. Liedl, Peter M. Tessier, John McCafferty, Andreas H. Laustsen
Publikováno v:
mAbs, Vol 15, Iss 1 (2023)
ABSTRACTBeyond potency, a good developability profile is a key attribute of a biological drug. Selecting and screening for such attributes early in the drug development process can save resources and avoid costly late-stage failures. Here, we review
Externí odkaz:
https://doaj.org/article/40e1d35a06264ee9a178e72c2e9b24b1
Autor:
Jennifer M. Zupancic, Matthew D. Smith, Hanna Trzeciakiewicz, Mary E. Skinner, Sean P. Ferris, Emily K. Makowski, Michael J. Lucas, Nikki McArthur, Ravi S. Kane, Henry L. Paulson, Peter M. Tessier
Publikováno v:
Frontiers in Immunology, Vol 14 (2023)
Single-domain antibodies, also known as nanobodies, are broadly important for studying the structure and conformational states of several classes of proteins, including membrane proteins, enzymes, and amyloidogenic proteins. Conformational nanobodies
Externí odkaz:
https://doaj.org/article/744b44e777364c28a6fe9024584e8b23
Autor:
Emily K. Makowski, Patrick C. Kinnunen, Jie Huang, Lina Wu, Matthew D. Smith, Tiexin Wang, Alec A. Desai, Craig N. Streu, Yulei Zhang, Jennifer M. Zupancic, John S. Schardt, Jennifer J. Linderman, Peter M. Tessier
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022)
Optimising antibody properties such as affinity can be detrimental to other key properties. Here the authors use machine learning to simplify the identification of antibodies with co-optimal levels of affinity and specificity for a clinical-stage ant
Externí odkaz:
https://doaj.org/article/0014043dced04499aebddc31d0764ef0
Autor:
Emily K. Makowski, Hongwei Chen, Matthew Lambert, Eric M. Bennett, Nicole S. Eschmann, Yulei Zhang, Jennifer M. Zupancic, Alec A. Desai, Matthew D. Smith, Wenjia Lou, Amendra Fernando, Timothy Tully, Christopher J. Gallo, Laura Lin, Peter M. Tessier
Publikováno v:
mAbs, Vol 14, Iss 1 (2022)
Self-association governs the viscosity and solubility of therapeutic antibodies in high-concentration formulations used for subcutaneous delivery, yet it is difficult to reliably identify candidates with low self-association during antibody discovery
Externí odkaz:
https://doaj.org/article/b7a6b619288444029f50f9d427dbd60c
Autor:
John S. Schardt, Ghasidit Pornnoppadol, Alec A. Desai, Kyung Soo Park, Jennifer M. Zupancic, Emily K. Makowski, Matthew D. Smith, Hongwei Chen, Mayara Garcia de Mattos Barbosa, Marilia Cascalho, Thomas M. Lanigan, James J. Moon, Peter M. Tessier
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-16 (2021)
Abstract Monoclonal antibodies that target SARS-CoV-2 with high affinity are valuable for a wide range of biomedical applications involving novel coronavirus disease (COVID-19) diagnosis, treatment, and prophylactic intervention. Strategies for the r
Externí odkaz:
https://doaj.org/article/75354dc4a1d54b489cf8d0e0fd26f7ef
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 5, p e1010160 (2022)
SARS-CoV-2 variants with enhanced transmissibility represent a serious threat to global health. Here we report machine learning models that can predict the impact of receptor-binding domain (RBD) mutations on receptor (ACE2) affinity, which is linked
Externí odkaz:
https://doaj.org/article/6c417fcc7db24638be21640e45224347
Facile isolation of high-affinity nanobodies from synthetic libraries using CDR-swapping mutagenesis
Publikováno v:
STAR Protocols, Vol 3, Iss 1, Pp 101101- (2022)
Summary: The generation of high-affinity nanobodies for diverse biomedical applications typically requires immunization or affinity maturation. Here, we report a simple protocol using complementarity-determining region (CDR)-swapping mutagenesis to i
Externí odkaz:
https://doaj.org/article/35b4cd6716784b719aaf0326f1a20c56
Autor:
Chang-Han Lee, Tae Hyun Kang, Ophélie Godon, Makiko Watanabe, George Delidakis, Caitlin M. Gillis, Delphine Sterlin, David Hardy, Michel Cogné, Lynn E. Macdonald, Andrew J. Murphy, Naxin Tu, Jiwon Lee, Jonathan R. McDaniel, Emily Makowski, Peter M. Tessier, Aaron S. Meyer, Pierre Bruhns, George Georgiou
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-11 (2019)
Lee et al. report an engineered IgG1 Fc domain that behaves like an hFcRn binding pH toggle switch. The authors show that this new half-life extension Fc domain confers improved pharmacokinetics in new humanized knock-in mouse strains that recapitula
Externí odkaz:
https://doaj.org/article/84d23b07351d4847b7e49dca2fbb568c