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Lauren Carter
Researcher at University of Washington
Publications - 89
Citations - 5974
Lauren Carter is an academic researcher from University of Washington. The author has contributed to research in topics: Antibody & Medicine. The author has an hindex of 26, co-authored 69 publications receiving 3098 citations. Previous affiliations of Lauren Carter include Infectious Disease Research Institute & University of Vienna.
Papers
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Journal ArticleDOI
Functional SARS-CoV-2-Specific Immune Memory Persists after Mild COVID-19.
Lauren B. Rodda,Jason Netland,Laila Shehata,Kurt B Pruner,Peter A. Morawski,Christopher D. Thouvenel,Kennidy K Takehara,Julie Eggenberger,Emily A. Hemann,Hayley R Waterman,Mitchell L Fahning,Yu Chen,Yu Chen,Malika Hale,Malika Hale,Jennifer A Rathe,Caleb Stokes,Samuel Wrenn,Brooke Fiala,Lauren Carter,Jessica A. Hamerman,Neil P. King,Michael Gale,Daniel J. Campbell,Daniel J. Campbell,David J. Rawlings,Marion Pepper +26 more
TL;DR: Mild COVID-19 elicits memory lymphocytes that persist and display functional hallmarks of antiviral immunity, and SARS-CoV-2-specific memory lymphocyte exhibited characteristics associated with potent antiviral function.
Journal ArticleDOI
De novo design of picomolar SARS-CoV-2 miniprotein inhibitors.
Longxing Cao,Inna Goreshnik,Brian Coventry,James Brett Case,Lauren Miller,Lisa Kozodoy,Rita E. Chen,Lauren Carter,Alexandra C. Walls,Young-Jun Park,Eva-Maria Strauch,Lance Stewart,Michael S. Diamond,David Veesler,David Baker +14 more
TL;DR: Targeting the interaction between the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike protein and the human angiotensin-converting enzyme 2 (ACE2) receptor is a promising therapeutic strategy and small, stable proteins that bind tightly to the spike and block it from binding to ACE2 are designed.
Journal ArticleDOI
Global analysis of protein folding using massively parallel design, synthesis, and testing
Gabriel J. Rocklin,Tamuka M. Chidyausiku,Inna Goreshnik,Alex Ford,Scott Houliston,Scott Houliston,Alexander Lemak,Lauren Carter,Rashmi Ravichandran,Vikram Khipple Mulligan,Aaron Chevalier,Cheryl H. Arrowsmith,Cheryl H. Arrowsmith,Cheryl H. Arrowsmith,David Baker +14 more
TL;DR: This approach achieves the long-standing goal of a tight feedback cycle between computation and experiment and has the potential to transform computational protein design into a data-driven science.
Journal ArticleDOI
Elicitation of Potent Neutralizing Antibody Responses by Designed Protein Nanoparticle Vaccines for SARS-CoV-2.
Alexandra C. Walls,Brooke Fiala,Alexandra Schäfer,Samuel Wrenn,Minh N. Pham,Michael E. P. Murphy,Longping V. Tse,Laila Shehata,Megan A. O'Connor,Chengbo Chen,Mary Jane Navarro,Marcos C. Miranda,Deleah Pettie,Rashmi Ravichandran,John C. Kraft,Cassandra Ogohara,Anne L. Palser,Sara Chalk,E-Chiang Lee,Kathryn A. Guerriero,Elizabeth Kepl,Cameron M. Chow,Claire Sydeman,Edgar A. Hodge,Brieann Brown,James T. Fuller,Kenneth H. Dinnon,Lisa E. Gralinski,Sarah R. Leist,Kendra Gully,Thomas B. Lewis,Miklos Guttman,Helen Y. Chu,Kelly K. Lee,Deborah H. Fuller,Ralph S. Baric,Paul Kellam,Lauren Carter,Marion Pepper,Timothy P. Sheahan,David Veesler,Neil P. King +41 more
TL;DR: The structure-based design of self-assembling protein nanoparticle immunogens that elicit potent and protective antibody responses against SARS-CoV-2 in mice are described and the high yield and stability of the assembled nanoparticles suggest that manufacture of the nanoparticle vaccines will be highly scalable.
Journal ArticleDOI
Massively parallel de novo protein design for targeted therapeutics
Aaron Chevalier,Daniel-Adriano Silva,Gabriel J. Rocklin,Derrick R. Hicks,Renan Vergara,Renan Vergara,Patience Murapa,Steffen M. Bernard,Lu Zhang,Lu Zhang,Kwok-Ho Lam,Guorui Yao,Christopher D. Bahl,Shin-Ichiro Miyashita,Shin-Ichiro Miyashita,Inna Goreshnik,James T. Fuller,Merika Treants Koday,Cody M. Jenkins,Tom Colvin,Lauren Carter,Alan J. Bohn,Cassie M. Bryan,D. Alejandro Fernández-Velasco,Lance Stewart,Min Dong,Min Dong,Xuhui Huang,Rongsheng Jin,Ian A. Wilson,Deborah H. Fuller,David Baker +31 more
TL;DR: A massively parallel approach for designing, manufacturing and screening mini-protein binders, integrating large-scale computational design, oligonucleotide synthesis, yeast display screening and next-generation sequencing is described.