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  1. Há 18 horas · For gene details, we referenced the NCBI Gene database to acquire the gene name and entrez ID. Protein-related details were obtained from UniProt database [ 61 ]. It is worth noting that while the HMDB exclusively offers information on human-related enzymes and transporter proteins, we bridged this gap for mouse enzymes and transporter proteins using gene homology mapping.

  2. Há 3 dias · The National Center for Biotechnology Information (NCBI), a division of the National Library of Medicine (NLM), is responsible for archiving, preserving, and providing access to a vast amount of ...

  3. Há 3 dias · OMIM is a comprehensive, authoritative compendium of human genes and genetic phenotypes that is freely available and updated daily. OMIM is authored and edited at the McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, under the direction of Dr. Ada Hamosh. Its official home is omim.org.

  4. Há 3 dias · The estimated ventricular volumes had excellent agreement with a mean bias of 2.06% by Bland-Altman analysis and a correlation of 0.99. From this initial data set, our results suggest that low-field, portable MR imaging is a promising technique for imaging and quantifying ventricular volumes. This study assesses the efficacy of low-field ...

  5. Há 4 dias · What is PubMed? What is Medline? What is Embase? Online version of Index Medicus produced by the US National Library of Medicine (NLM). Freely available on the Internet. The primary component of PubMed made available by NLM to commercial suppliers. Available by subscription through a number of interfaces. At KEMH we have the OVID ...

    • Fiona Holt
    • 2019
  6. Há 3 dias · PubMed, developed by the National Library of Medicine (NLM), provides access to bibliographic citations to biomedical journal articles, including MEDLINE, and to additional life sciences journals.

  7. Há 5 dias · A search for articles was conducted in the PubMed database until January 2024. We employed the Entrez interface to extract information efficiently from the database (11, 12). This approach leverages the logical relationships between individual entities in the database, resembling relational natural language .