Pihl Moser (optionyear71)

ncy for Healthcare Research and Quality Health Literacy Universal Precautions Toolkit to conduct an organizational health literacy needs assessment and improvement plan in a public health setting, the Virginia Department of Health. Assessment of staff and clients revealed strengths and weaknesses in organizational health literacy practices. Feedback guided efforts to improve organizational health literacy capacity. In a world increasingly dependent on the Internet for information, it is not surprising that people use the internet to find answers to their health-related questions. Research has shown that teen girls are more likely to search for health information online than boys, but that they do not feel confident in using the information they find. To address this disparity, teen girls were engaged in the process of developing a teen-friendly, internet-based tool that explains the best way to find, evaluate, and use online health information. Focus groups were held with girls and their parents to inform the design of the tool. After collaborating with information technology, marketing, and video production teams, a tool was developed consisting of a webpage, videos, and an interactive game. The efficacy and acceptability of the tool were tested among our target demographic through a usability trial. Parent and teen focus groups informed the three-step design of the tool. Teen girls reported significantly highedolescent girls. CMC-Na cell line [HLRP Health Literacy Research and Practice. 2021;5(1)e26-e34.] PLAIN LANGUAGE SUMMARY This research study used teen and parent input to help design an internet-based training tool to teach teen girls the best way to use the internet to find health information. Teen girls' ability to find, understand, and evaluate online health information significantly improved after using the tool. The tool was advertised throughout the United States on various social media platforms.Knowledge of the interactions between proteins and nucleic acids is the basis of understanding various biological activities and designing new drugs. How to accurately identify the nucleic-acid-binding residues remains a challenging task. In this paper, we propose an accurate predictor, GraphBind, for identifying nucleic-acid-binding residues on proteins based on an end-to-end graph neural network. Considering that binding sites often behave in highly conservative patterns on local tertiary structures, we first construct graphs based on the structural contexts of target residues and their spatial neighborhood. Then, hierarchical graph neural networks (HGNNs) are used to embed the latent local patterns of structural and bio-physicochemical characteristics for binding residue recognition. We comprehensively evaluate GraphBind on DNA/RNA benchmark datasets. The results demonstrate the superior performance of GraphBind than state-of-the-art methods. Moreover, GraphBind is extended to other ligand-binding residue prediction to verify its generalization capability. Web server of GraphBind is freely available at http// transcription factors bind a canonical consensus DNA motif, RYAAAYA (R = A/G, Y = C/T), as a monomer. However, the molecular mechanisms by which forkhead transcription factors bind DNA as a dimer are not well understood. In this study, we show that FOXO1 recognizes a palindromic DNA element DIV2, and mediates transcriptional regulation. The crystal structure of FOXO1/DIV2 reveals that the FOXO1 DNA binding domain (DBD) binds the DIV2 site as a homodimer. The wing1 region of FOXO1 mediates the dimerization, which enhances FOXO1 DNA binding affinity and complex stability. Further biochemical assays show that FOXO3, FOXM1 and FOXI1 also bind the DIV2 site as homodimer, while FOXC2 can only bind this site as a monomer. Our structural, biochemical and bioinformatics analyses not only provide a novel mechanism by which FOXO1 bi