Information about retroviruses and specialized tools for the analysis of retroviral proteins and genomes. The tools on this page aid in the identification, study and analysis of retroviral genomes and proteins. For instance, the HIV, human interaction database catalogs and organizes published data in peer-reviewed journals regarding HIV-1 and human protein interactions. Several links external to NCBI are also included for the purposes of education, research and health-related matters. These include links to the CDC, the Retroviruses textbook and other informative sites.
RxNorm provides normalized names for clinical drugs and links its names to many of the drug vocabularies commonly used in pharmacy management and drug interaction software, including those of First Databank, Micromedex, Gold Standard, and Multum. By providing links between these vocabularies, RxNorm can mediate messages between systems not using the same software and vocabulary.
RxTerms is a drug interface terminology derived from RxNorm for prescription writing or medication history recording (e.g. in e-prescribing systems, PHRs). RxTerms is derived only from the non-proprietary content of RxNorm, which is developed and maintained by the U.S. National Library of Medicine. No fee or license is required to use the RxTerms data. Technical documentation at https://wwwcf.nlm.nih.gov/umlslicense/rxtermApp/rxTermFileStructure.cfm
SNOMED CT is one of a suite of designated standards for use in U.S. Federal Government systems for the electronic exchange of clinical health information and is also a required standard in interoperability specifications of the U.S. Healthcare Information Technology Standards Panel.
Three dimensional structures provide a wealth of information on the biological function and the evolutionary history of macromolecules. They can be used to examine sequence-structure-function relationships, interactions, active sites, and more.
The Taxonomy Database is a curated classification and nomenclature for all of the organisms in the public sequence databases. This currently represents about 10% of the described species of life on the planet.
A database that contains sequences built from the existing primary sequence data in GenBank. The sequences and corresponding annotations are experimentally supported and have been published in a peer-reviewed scientific journal.