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Showing 1–7 of 7 results
Advanced filters: Author: Eric I. Rossman Clear advanced filters
  • GluFormer, a generative foundation model, uses continuous glucose monitoring data to accurately forecast glycaemia-related health responses, particularly for long-term outcomes.

    • Guy Lutsker
    • Gal Sapir
    • Eran Segal
    Research
    Nature
    Volume: 650, P: 978-986
  • Multimodal data from 347 deeply phenotyped individuals including healthy, prediabetic individuals and individuals with T2D report remotely acquired patterns of glucose control via continuous glucose monitoring, and correlates them with diet and microbiome features and physiological signals, showing that these are able to discriminate individuals with T2D from control also in a large independent cohort.

    • Mattia Carletti
    • Jay Pandit
    • Giorgio Quer
    ResearchOpen Access
    Nature Medicine
    Volume: 31, P: 3121-3127
  • A computational protein design was used to generate eight enzymes that were able to catalyse the Kemp elimination, a model reaction for proton transfer from carbon. Directed evolution was used to enhance the catalytic activity of the designed enzymes, demonstrating that the combination of computational protein design and directed evolution is a highly effective strategy to create novel enzymes.

    • Daniela Röthlisberger
    • Olga Khersonsky
    • David Baker
    Research
    Nature
    Volume: 453, P: 190-195
  • In a serological analysis, Bore et al. utilise serum samples, collected from a cohort of individuals associated with bushmeat hunting and butchering, in the forested region of Guinea, a region close to the epicentre of the 2013–2016 West Africa Ebola virus disease epidemic.

    • Joseph Akoi Boré
    • Joseph W. S. Timothy
    • Miles W. Carroll
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-10
  • Quantitative systems toxicology (QST) models have the potential to increase confidence in the safety assessment of drug candidates and to inform project progression decisions. This article overviews the fundamentals of constructing and using QST models, presents the state-of-the-art for models of cardiovascular, gastrointestinal, hepatic and renal toxicities, and it provides recommendations for their application in drug discovery and development.

    • Christopher E. Goldring
    • Giusy Russomanno
    • Loic Laplanche
    Reviews
    Nature Reviews Drug Discovery
    Volume: 25, P: 138-153