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Showing 1–5 of 5 results
Advanced filters: Author: Avik Roy Clear advanced filters

  • The mechanisms underlying the spreading of α-synuclein in various α-synucleinopathies are unclear. Here, the authors show that targeting the TLR2/MyD88/NF-κB pathway can reduce α-synuclein spreading, reduce neuroinflammation, and protect dopaminergic neurons in vitro and in mouse models

    • Debashis Dutta
    • Malabendu Jana
    • Kalipada Pahan
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-19

  • Three endogenous ligands of the nuclear receptor PPARα—hydroxydimethylbutyrate, hexadecanamide, and octadecenamide—are potentially responsible for noncanonical activity of PPARα in synaptic function and hippocampal plasticity.

    • Avik Roy
    • Madhuchhanda Kundu
    • Kalipada Pahan
    Research
    Nature Chemical Biology
    Volume: 12, P: 1075-1083

  • A foundational set of findable, accessible, interoperable, and reusable (FAIR) principles were proposed in 2016 as prerequisites for proper data management and stewardship, with the goal of enabling the reusability of scholarly data. The principles were also meant to apply to other digital assets, at a high level, and over time, the FAIR guiding principles have been re-interpreted or extended to include the software, tools, algorithms, and workflows that produce data. FAIR principles are now being adapted in the context of AI models and datasets. Here, we present the perspectives, vision, and experiences of researchers from different countries, disciplines, and backgrounds who are leading the definition and adoption of FAIR principles in their communities of practice, and discuss outcomes that may result from pursuing and incentivizing FAIR AI research. The material for this report builds on the FAIR for AI Workshop held at Argonne National Laboratory on June 7, 2022.

    • E. A. Huerta
    • Ben Blaiszik
    • Ruike Zhu
    Comments & OpinionOpen Access
    Scientific Data
    Volume: 10, P: 1-10