
Sarah Fletcher
Articles
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Jan 17, 2025 |
nature.com | Long Châu |Chen-Hsuin Lee |Christine Tait-Burkard |Sarah Fletcher |Louise Gibbard |J. Kenneth Baillie | +1 more
AbstractAnimal models that accurately reflect COVID-19 are vital for understanding mechanisms of disease and advancing development of improved vaccines and therapeutics. Pigs are increasingly recognized as valuable models for human disease due to their genetic, anatomical, physiological, and immunological similarities to humans, and they present a more ethically viable alternative to non-human primates.
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Mar 22, 2024 |
pnas.org | Ellen R. M |Amanda Giang |Morgan Edwards |Sarah Fletcher
Variable aging and storage of dissolved black carbon in the oceanContributed by Ellen R. M. Druffel; received April 3, 2023; accepted February 13, 2024; reviewed by Lihini I. Aluwihare, Jennifer Cherrier, and Youhei YamashitaSignificanceDuring wildfires, substantial amounts of biomass are converted to charred by-products, rich in black carbon (BC), produced via incomplete combustion.
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Mar 21, 2024 |
pnas.org | Jonathan Lee |Amanda Giang |Morgan Edwards |Sarah Fletcher
Directed evolution of genetically encoded LYTACs for cell-mediated deliveryEdited by George M. Burslem, University of Pennsylvania, Philadelphia, PA; received November 15, 2023; accepted February 20, 2024 by Editorial Board Member Stephen J. BenkovicSignificanceBetter therapeutic windows can be achieved by targeting therapeutics to their desired sites of action.
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Mar 21, 2024 |
pnas.org | Christelle A. M |Amanda Giang |Morgan Edwards |Sarah Fletcher
Root-exuded specialized metabolites reduce arsenic toxicity in maizeVeronica Caggìa https://orcid.org/0009-0001-3379-1211 [email protected], Jan Wälchli https://orcid.org/0000-0002-4384-6570, Gabriel Deslandes-Hérold, +7 , Pierre Mateo https://orcid.org/0000-0003-4338-3024, Christelle A. M.
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Mar 20, 2024 |
pnas.org | Amanda Giang |Morgan Edwards |Sarah Fletcher |Rivkah Gardner-Frolick
S. Wang, S. Sun, Z. Li, R. Zhang, J. Xu, Accurate de novo prediction of protein contact map by ultra-deep learning model. PLOS Comput. Biol. 13, e1005324 (2017). J. Xu, Distance-based protein folding powered by deep learning. Proc. Natl. Acad. Sci. U.S.A. 116, 16856–16865 (2019). M. Akdel et al., A structural biology community assessment of AlphaFold2 applications. Nat. Struct. Mol. Biol. 29, 1056–1067 (2022). G. R. Buel, K. J. Walters, Can AlphaFold2 predict the impact of missense mutations on structure? Nat. Struct. Mol.
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