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Experimentally guided computational antibody affinity maturation with de novo docking, modelling and rational design
- Daniel A. Cannon ,
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Lu Shan ,
Contributed equally to this work with: Daniel A. Cannon, Lu Shan
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft
Affiliation Department of Antibody Discovery and Protein Engineering, AstraZeneca, Gaithersburg, Maryland, United States of America
⨯ - Qun Du,
- Lena Shirinian,
- Keith W. Rickert,
- Kim L. Rosenthal,
- Martin Korade III,
- Lilian E. van Vlerken-Ysla,
- Andrew Buchanan,
- Tristan J. Vaughan,
- Melissa M. Damschroder,
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Bojana Popovic
Roles Conceptualization, Formal analysis, Methodology, Resources, Supervision, Writing – original draft
* E-mail: popovicb@medimmune.com
Affiliation Department of Antibody Discovery and Protein Engineering, AstraZeneca, Cambridge, United Kingdom
⨯
http://orcid.org/0000-0003-2334-9216
Experimentally guided computational antibody affinity maturation with de novo docking, modelling and rational design
- Daniel A. Cannon,
- Lu Shan,
- Qun Du,
- Lena Shirinian,
- Keith W. Rickert,
- Kim L. Rosenthal,
- Martin Korade III,
- Lilian E. van Vlerken-Ysla,
- Andrew Buchanan,
- Tristan J. Vaughan
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- Published: May 1, 2019
- https://doi.org/10.1371/journal.pcbi.1006980