Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Elisa Rheaume"'
Autor:
Emily G. Saccuzzo, Mubark D. Mebrat, Hailee F. Scelsi, Minjoo Kim, Minh Thu Ma, Xinya Su, Shannon E. Hill, Elisa Rheaume, Renhao Li, Matthew P. Torres, James C. Gumbart, Wade D. Van Horn, Raquel L. Lieberman
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Studies of folded-to-misfolded transitions using model protein systems reveal a range of unfolding needed for exposure of amyloid-prone regions for subsequent fibrillization. Here, we probe the relationship between unfolding and aggregation
Externí odkaz:
https://doaj.org/article/d4c43b083a34447bb38dec82f348044d
Publikováno v:
Genomics & Genetics Weekly; 1/26/2024, p563-563, 1p
A hands-on lab guide in the R programming language that enables students in the life sciences to reason quantitatively about living systems across scalesThis lab guide accompanies the textbook Quantitative Biosciences, providing students with the ski
A hands-on lab guide in the Python programming language that enables students in the life sciences to reason quantitatively about living systems across scalesThis lab guide accompanies the textbook Quantitative Biosciences, providing students with th
Autor:
Joshua S. Weitz, Bradford P. Taylor
A hands-on lab guide in the MATLAB programming language that enables students in the life sciences to reason quantitatively about living systems across scalesThis lab guide accompanies the textbook Quantitative Biosciences, providing students with th
Autor:
Joshua S. Weitz
A hands-on approach to quantitative reasoning in the life sciencesQuantitative Biosciences establishes the quantitative principles of how living systems work across scales, drawing on classic and modern discoveries to present a case study approach th