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http://www.curehunter.com/public/showTopPage.do

CureHunter is the only fully integrated scientific search, data retrieval and analysis engine on the web that can read the entire US National Library of Medicine Medline Archive and automatically extract and quantify the evidence for successful clinical outcomes of all known drugs for all known human diseases. * For patients we provide low-cost Summary PDF Reports with all drug evidence for all known cures or symptom improvement * For medical professionals CureHunter on-line access delivers decision support in 10-20 seconds of real clinical time to make an evidence check as SOP as a BP or Temp * For pharma research scientists we offer powerful data export functions that deliver over 1.5 million specific clinical outcome data points to new drug discovery software Use the CureHunter Research Interface: * Discover new potential off-label applications * Export data and apply custom analytics * 1-click drug performance meta-analyses * Keep up-to-date on the latest developments in your field * Optimize formularies with total evidence-based objectivity * RSS Feeds for Tracking Pharma Products

Proper citation: CureHunter (RRID:SCR_005804) Copy   

•   Source: SciCrunch Registry

https://www.ncbi.nlm.nih.gov/Web/Search/entrezfs.html

Web portal for global query cross database search and retrieval system that provides access to all databases simultaneously with a single query string and user interface. Retrieves nucleotide and protein sequence data, gene centered and genomic mapping information, 3D structures, and references. Covers databases including protein sequence data from PIR-International, PRF, Swiss-Prot, and PDB and nucleotide sequence data from GenBank that includes information from EMBL and DDBJ.

Proper citation: Entrez (RRID:SCR_016640) Copy   

•   Source: SciCrunch Registry

http://www.nih.gov/

NIH is the nations medical research agency - making important medical discoveries that improve health and save lives. The National Institutes of Health (NIH), a part of the U.S. Department of Health and Human Services, is the primary Federal agency for conducting and supporting medical research. Helping to lead the way toward important medical discoveries that improve peoples health and save lives, NIH scientists investigate ways to prevent disease as well as the causes, treatments, and even cures for common and rare diseases. NIH research impacts: * child and teen health, * men's health, * minority health, * seniors' health, * women's health, and * wellness and lifestyle issues. Composed of 27 Institutes and Centers, the NIH provides leadership and financial support to researchers in every state and throughout the world.

Proper citation: National Institutes of Health (RRID:SCR_011417) Copy   

•   Source: SciCrunch Registry

http://www.ncbi.nlm.nih.gov/books/NBK25500/

Entrez Programming Utilities are tools that provide access to Entrez data outside of the regular web query interface and may be helpful for retrieving search results for future use in another environment.
Additional information is available in the NCBI Bookshelf Short Courses Building Customized Data Pipelines Using the Entrez Programming Utilities (eUtils) and the NCBI PowerScripting course.
User Requirements: Please read for important information on scripting NCBI servers.
EInfo: Provides field index term counts, last update, and available links for each database.
ESearch: Searches and retrieves primary IDs (for use in EFetch, ELink, and ESummary) and term translations and optionally retains results for future use in the user''s environment.
EPost: Posts a file containing a list of primary IDs for future use in the user''s environment to use with subsequent search strategies.
ESummary: Retrieves document summaries from a list of primary IDs or from the user''s environment.
EFetch: Retrieves records in the requested format from a list of one or more primary IDs or from the user''s environment.
ELink: Checks for the existence of an external or Related Articles link from a list of one or more primary IDs. Retrieves primary IDs and relevancy scores for links to Entrez databases or Related Articles; creates a hyperlink to the primary LinkOut provider for a specific ID and database, or lists LinkOut URLs and Attributes for multiple IDs.
EGQuery: Provides Entrez database counts in XML for a single search using Global Query.
ESpell: Retrieves spelling suggestions.
SOAP Interface for Entrez Utilities
PMID to PMC ID Converter
Entrez DTDs
Demonstration Program
Announcement Mailing List
Leasing Data from the National Library of Medicine
Help Desk
User Requirements
Do not overload NCBI''s systems. Users intending to send numerous queries and/or retrieve large numbers of records from Entrez should comply with the following:
Run retrieval scripts on weekends or between 9 pm and 5 am Eastern Time weekdays for any series of more than 100 requests.
Send E-utilities requests to http://eutils.ncbi.nlm.nih.gov, not the standard NCBI Web address.
Make no more than 3 requests every 1 second.
Use the URL parameter email, and tool for distributed software, so that we can track your project and contact you if there is a problem.
NCBI''s Disclaimer and Copyright notice must be evident to users of your service. NLM does not claim the copyright on the abstracts in PubMed; however, journal publishers or authors may. NLM provides no legal advice concerning distribution of copyrighted materials, consult your legal counsel.

Proper citation: Entrez Utilities (RRID:SCR_013249) Copy   

•   Source: SciCrunch Registry

http://druginfo.nlm.nih.gov/drugportal/drugportal.jsp

The NLM Drug Information Portal gives users a gateway to selected drug information from the U.S. National Library of Medicine and other key U.S. Government agencies. At the top of the page are links to individual resources with potential drug information, including summaries tailored to various audiences. Resources include the NLM search systems useful in searching for a drug, NLM research resources, resources organized by audience and class, and other NIH and government resources such as FDA and CDC. The search box in the middle of the page lets you search many of these resources simultaneously. More than 34,000 drugs can be searched using this facility. The portal covers drugs from the time they are entered into clinical trials (Clinicaltrials.gov) through their entry in the U.S. market place (Drugs@FDA). Many drugs in other countries are covered, but not as thoroughly as U.S. drugs. The PubMed link provides medical literature describing research, and TOXLINE provides toxicology literature. Resources such as MedlinePlus provide easy to read summaries of the uses and efficacy of a drug. You may search by a drug's trade name or generic name. For example, the trade name Advil and the generic name ibuprofen will retrieve the same drug record. As you type in a name, suggestions are given beneath the search box. A spell checker gives suggestions if the name is not found. You can find embedded portions of names by using an asterisk at the beginning and/or end of a search term. You can also search by the general Category of usage of a drug by checking that radio button. Suggestions are given as you type here too. Once a drug is found, a summary of the drug's type and usage is given, as well as links leading to further information at one of the portal's resources. Outside links open in a new window. Within a given drug record, you may click on the drug category and retrieve drugs with the same or similar uses. * View drug category descriptions. * View top By Name searches (previous seven days). * View top By Category searches (previous seven days). * View top dispensed prescriptions in the US Market, 2010. * View common drug name list. * View category name list. * View list of resources searched. JavaScript must be enabled in your browser for the NLM Drug Information Portal to work properly.

Proper citation: Drug Information Portal (RRID:SCR_002818) Copy   

•   Source: SciCrunch Registry

https://cde.nlm.nih.gov/

A repository of Common Data Elements (CDE). The CDE is a standardized, precisely defined question, paired with a set of allowable responses, used systematically across different sites, studies, or clinical trials to ensure consistent data collection. Multiple CDEs (from one or more Collections) can be curated into Forms. Forms in the Repository might be original, or might recreate the format of real-world data collection instruments or case report forms. NIH has endorsed collections of CDEs that meet established criteria. NIH-endorsed CDEs are designated with a gold ribbon. Users can Browse NIH-Endorsed CDEs, Browse All CDEs, or Browse Forms.

Proper citation: NIH Common Data Element Repository (RRID:SCR_001390) Copy   

•   Source: SciCrunch Registry

http://www.ncbi.nlm.nih.gov

A portal to biomedical and genomic information. NCBI creates public databases, conducts research in computational biology, develops software tools for analyzing genome data, and disseminates biomedical information for the better understanding of molecular processes affecting human health and disease.

Proper citation: NCBI (RRID:SCR_006472) Copy   

•   Source: SciCrunch Registry

http://www.nlm.nih.gov/research/umls/rxnorm/

Ontology that provides a normalized naming system for generic and branded drugs and a tool for supporting semantic interoperation between drug terminologies and pharmacy knowledge base systems. It contains the names of prescription and many over-the-counter drugs available in the United States and links its names to many of the drug vocabularies commonly used in pharmacy management and drug interaction software. It can mediate messages between systems not using the same software and vocabulary. * RxNorm Download Files - contain data consistent with the 2013AB UMLS Metathesaurus Release Files. * RxNorm API - web service for accessing the current RxNorm data set. * RxNorm Browser (RxNav) - a browser for several drug information sources, including RxNorm, RxTerms and National Drug File - Reference Terminology (NDF-RT) . * Current Prescribable Content - subset of currently prescribable drugs found in RxNorm. * RxTerms Drug Interface Terminology - a drug interface terminology derived from RxNorm for prescription writing or medication history recording

Proper citation: RxNorm (RRID:SCR_006645) Copy   

•   Source: SciCrunch Registry

http://www.nlm.nih.gov/research/umls/

Database of key terminology, classification and coding standards, and associated resources to promote creation of more effective and interoperable biomedical information systems and services, including electronic health records. This set of files and software brings together many health and biomedical vocabularies and standards to enable interoperability between computer systems. Users can use the UMLS to enhance or develop applications, such as electronic health records, classification tools, dictionaries and language translators. The UMLS has three tools, which we call the Knowledge Sources: * Metathesaurus: Terms and codes from many vocabularies, including CPT, ICD-10-CM, LOINC, MeSH, RxNorm, and SNOMED CT * Semantic Network: Broad categories (semantic types) and their relationships (semantic relations) * SPECIALIST Lexicon and Lexical Tools: Natural language processing tools We use the Semantic Network and Lexical Tools to produce the Metathesaurus. Metathesaurus production involves: * Processing the terms and codes using the Lexical Tools * Grouping synonymous terms into concepts * Categorizing concepts by semantic types from the Semantic Network * Incorporating relationships and attributes provided by vocabularies * Releasing the data in a common format Although we integrate these tools for Metathesaurus production, you can access them separately or in any combination according to your needs. The UMLS Terminology Services (UTS) provides three ways to access the UMLS: Web Browsers, Local Installation, and Web Services APIs.

Proper citation: Unified Medical Language System (RRID:SCR_006363) Copy   

•   Source: SciCrunch Registry

http://wwwcf.nlm.nih.gov/hsrr_search/view_hsrr_record_table.cfm?TITLE_ID=475&PROGRAM_CAME=toc_with_source2.cfm

A data set designed to provide a cross-sectional description of health, mental, and social status of the oldest-old segment of the elderly population in Israel, and to serve as a baseline for a multiple-stage research program to correlate demographic, health, and functional status with subsequent mortality, selected morbidity, and institutionalization. Study data are based on a sample of Jewish subjects aged 75+, alive and living in Israel on January 1, 1989, randomly selected from the National Population Register (NPR), a complete listing of the Israeli population maintained by the Ministry of the Interior. The NPR is updated on a routine basis with births, deaths, and in and out migration, and corrected by linkage with census data. The sample was stratified by age (five 5-year age groups: 75-79, 80-84, 85-89, 90-94, 95+), sex, and place of birth (Israel, Asia-Africa, Europe-America). One hundred subjects were randomly selected in each of the 30 strata. However, there were less than 100 individuals of each sex aged 95+ born in Israel, so all were selected for the sample. The total group included 2,891 individuals living both in the community and in institutions. A total of 1,820 (76%) of the 75-94 age group were interviewed during 1989-1992. An additional cognitive exam (Folstein) and a 24-hour dietary recall interview were added in the second round. Kibbutz Residents Sample The kibbutz is a social and economic unit based on equality among members, common property and work, collaborative consumption, and democracy in decision making. There are 250 kibbutzim in Israel, and their population constitutes about 3% of the country''s total population. All kibbutz residents in the country aged 85+, both members and parents, were selected for interviewing, of whom 80.4% (n=652) were interviewed. A matched sample aged 75-84 was selected, and 85.9% (n=674) were successfully interviewed. The original interview took approximately two hours to administer, and collected extensive information concerning the socio-demographic, physical, health, functioning, life events (including Holocaust), depression, mental status, and social network characteristics of the sample. The questionnaire used for kibbutz residents in the follow-up interview is identical to that utilized in the national random sample. Data Availability: Mortality data for both the national and kibbutz samples are available for analysis as a result of the linkage to the NPR file updated as of June 2000. The fieldwork for first follow up was completed as of September 1994 and for the second follow up as of December 2002. The data file of the three phases of the study is ready for analysis. * Dates of Study: 1989-1992 * Study Features: Longitudinal, International * Sample Size: 2,891

Proper citation: Cross-Sectional and Longitudinal Aging Study (RRID:SCR_008903) Copy   

•   Source: SciCrunch Registry

http://dirline.nlm.nih.gov/

THIS RESOURCE IS NO LONGER IN SERVICE, documented July 15, 2016. Database containing location and descriptive information about a wide variety of information resources including organizations, research resources, projects, and databases concerned with health and biomedicine. This information may not be readily available in bibliographic databases. Each record may contain information on the publications, holdings, and services provided. These information resources fall into many categories including federal, state, and local government agencies; information and referral centers; professional societies; self-help groups and voluntary associations; academic and research institutions and their programs; information systems and research facilities. Topics include HIV/AIDS, maternal and child health, most diseases and conditions including genetic and other rare diseases, health services research and technology assessment. DIRLINE can be searched using subject words (such as disease or condition) including Medical Subject Headings (MeSH) or for the name or location of a resource. It now offers an A to Z list of over 8,500 organizations.

Proper citation: Directory of Health Organizations Online (RRID:SCR_002331) Copy   

•   Source: SciCrunch Registry

http://hazmap.nlm.nih.gov/

Occupational health database designed for health and safety professionals and for consumers seeking information about the adverse effects of workplace exposures to chemical and biological agents. The main links in Haz-Map are between chemicals and occupational diseases. These links have been established using current scientific evidence. Haz-Map shows the diseases linked to each agent and the agents linked to each disease. Agents are chemical such as formaldehyde, or biological such as grain dust. Haz-Map links jobs and hazardous job tasks with occupational diseases and their symptoms. In Haz-Map, chronic occupational diseases are linked to both jobs and industries, while acute diseases and infectious diseases are linked only to jobs. Cancers are not linked to jobs, industries or findings. The information in Haz-Map comes from textbooks, journal articles, the Documentation of the Threshold Limit Values (published by ACGIH), and electronic databases such as NLM's Hazardous Substances Data Bank (HSDB). Haz-Map staff classifies, summarizes, and regularly updates the information found in the database.

Proper citation: Haz-Map: Occupational Exposure to Hazardous Agents (RRID:SCR_002365) Copy   

•   Source: SciCrunch Registry

http://toxnet.nlm.nih.gov/cgi-bin/sis/htmlgen?iter

ITER is a toxicology data file on the National Library of Medicine''s (NLM) Toxicology Data Network. It contains data in support of human health risk assessments. It is compiled by Toxicology Excellence for Risk Assessment (TERA) and contains over 600 chemical records with key data from the Agency for Toxic Substances & Disease Registry (ATSDR), Health Canada, National Institute of Public Health & the Environment (RIVM) - The Netherlands, U.S. Environmental Protection Agency (EPA), and independent parties whose risk values have undergone peer review. ITER provides a comparison of international risk assessment information in a side-by-side format and explains differences in risk values derived by different organizations. ITER data, focusing on hazard identification and dose-response assessment, is extracted from each agencys assessment and contains links to the source documentation. Among the key data provided in ITER are ATSDRs minimal risk levels; Health Canadas tolerable intakes/concentrations and tumorigenic doses/concentrations; EPAs carcinogen classifications, unit risks, slope factors, oral reference doses, and inhalation reference concentrations; RIVMs maximum permissible risk levels; NSF International''s reference doses and carcinogen risk levels, IARC''s cancer classifications, and noncancer and/or cancer risk values (that have undergone peer review) derived by independent parties. Users can search by chemical or other name, chemical name fragment, or Chemical Abstracts Service Registry Number(RN), and/or subject terms. Search results can easily be viewed, printed or downloaded. Search results are displayed in relevancy ranked order. Users may select to display exact term matches, complete records, or any combination of data from the following broad groupings: -Noncancer Oral -Cancer Oral -Noncancer Inhalation -Cancer Inhalation

Proper citation: International Toxicity Estimates for Risk (RRID:SCR_008196) Copy   

•   Source: SciCrunch Registry

http://toxnet.nlm.nih.gov/altbib.html

Bibliography to assist in identifying methods and procedures helpful in supporting the development, testing, application, and validation of alternatives to the use of vertebrates in biomedical research and toxicology testing. This bibliography is produced from MEDLINE database searches, performed and analyzed by subject experts from the Toxicology and Environmental Health Information Program (TEHIP) of the Specialized Information Services Division (SIS) of the National Library of Medicine (NLM). The purpose of these bibliographies on animal alternatives is to provide a survey of the literature in a format which facilitates easy scanning. This bibliography includes citations from published articles, books, book chapters, and technical reports. Citations to items in non-English languages are indicated with brackets around the title. The language is also indicated. Citations with abstracts or annotations relating to the method are organized under subject categories. This publication features citations which deal with methods, tests, assays or procedures which may prove useful in establishing alternatives to the use of intact vertebrates. Citations are selected and compiled through searching various computerized on-line bibliographic databases of the National Library of Medicine, National Institutes of Health. The focus of the bibliography is to assist in identifying methods and procedures helpful in supporting the development, testing, application, and validation of alternatives to the use of vertebrates in biomedical research and toxicology testing. Toxicology Databases

Proper citation: Bibliography on Alternatives to the Use of Live Vertebrates in Biomedical Research and Testing (RRID:SCR_008160) Copy   

•   Source: SciCrunch Registry

http://hpd.nlm.nih.gov/

A database of ingredients in brand-name household products linked to health information from Material Safety Data Sheets (MSDS) provided by manufacturers. The database is designed to help answer the following typical questions: *What are the chemical ingredients and their percentage in specific brands? *Which products contain specific chemical ingredients? *Who manufactures a specific brand? How do I contact this manufacturer? *What are the acute and chronic effects of chemical ingredients in a specific brand? *What other information is available about chemicals in the toxicology-related databases of the National Library of Medicine? NLM and its Contractor (the Database Providers) do not test products nor investigate to determine if this information is complete or accurate.

Proper citation: Household Products Database (RRID:SCR_013006) Copy   

•   Source: SciCrunch Registry

http://130.14.29.110/BLAST/

This portal takes you to the NCBI''s BLAST Assembled RefSeq Genomes. The Basic Local Alignment Search Tool (BLAST) finds regions of local similarity between sequences. The program compares nucleotide or protein sequences to sequence databases and calculates the statistical significance of matches. BLAST can be used to infer functional and evolutionary relationships between sequences as well as help identify members of gene families. Sponsors: This resource is supported by the National Institutes of Health. Keywords: BLAST, Genome, Search engine, Sequence, Biological, Local, Alignment, Nucleotide, Protein, Program, Database, Stastical, Functional, Evolutionaary, Gene,

Proper citation: BLAST Assembled RefSeq Genomes (RRID:SCR_008420) Copy   

•   Source: SciCrunch Registry

http://www.nlm.nih.gov/bsd/pmresources.html

A premier bibliographic database that contains over 18 million references to journal articles in life sciences with a concentration on biomedicine. A distinctive feature is that the records are indexed with NLM Medical Subject Headings (MeSH). PubMed provides free access to MEDLINE and links to full text articles when possible. The great majority of journals are selected for MEDLINE based on the recommendation of the Literature Selection Technical Review Committee (LSTRC), an NIH-chartered advisory committee of external experts analogous to the committees that review NIH grant applications. Some additional journals and newsletters are selected based on NLM-initiated reviews, e.g., history of medicine, health services research, AIDS, toxicology and environmental health, molecular biology, and complementary medicine, that are special priorities for NLM or other NIH components. These reviews generally also involve consultation with an array of NIH and outside experts or, in some cases, external organizations with which NLM has special collaborative arrangements. MEDLINE is the primary component of PubMed, part of the Entrez series of databases provided by the NLM National Center for Biotechnology Information (NCBI). MEDLINE may also be searched via the NLM Gateway. Time coverage: generally 1946 to the present, with some older material. Source: Currently, citations from approximately 5,516 worldwide journals in 39 languages; 60 languages for older journals. Citations for MEDLINE are created by the NLM, international partners, and collaborating organizations.

Proper citation: MEDLINE (RRID:SCR_002185) Copy   

•   Source: SciCrunch Registry

http://clinicaltrials.gov/

Registry and results database of federally and privately supported clinical trials conducted in United States and around world. Provides information about purpose of trial, who may participate, locations, and phone numbers for more details. This information should be used in conjunction with advice from health care professionals.Offers information for locating federally and privately supported clinical trials for wide range of diseases and conditions. Research study in human volunteers to answer specific health questions. Interventional trials determine whether experimental treatments or new ways of using known therapies are safe and effective under controlled environments. Observational trials address health issues in large groups of people or populations in natural settings. ClinicalTrials.gov contains trials sponsored by National Institutes of Health, other federal agencies, and private industry. Studies listed in database are conducted in all 50 States and in 178 countries.

Proper citation: ClinicalTrials.gov (RRID:SCR_002309) Copy   

•   Source: SciCrunch Registry

http://www.nlm.nih.gov/mesh

A controlled vocabulary thesaurus that consists of sets of terms naming descriptors in a hierarchical structure that permits searching at various levels of specificity. MeSH, in machine-readable form, is provided at no charge via electronic means. MeSH descriptors are arranged in both an alphabetic and a hierarchical structure. At the most general level of the hierarchical structure are very broad headings such as Anatomy or Mental Disorders. More specific headings are found at more narrow levels of the twelve-level hierarchy, such as Ankle and Conduct Disorder. There are 27,149 descriptors in 2014 MeSH. There are also over 218,000 entry terms that assist in finding the most appropriate MeSH Heading, for example, Vitamin C is an entry term to Ascorbic Acid. In addition to these headings, there are more than 219,000 headings called Supplementary Concept Records (formerly Supplementary Chemical Records) within a separate thesaurus. The MeSH thesaurus is used by NLM for indexing articles from 5,400 of the world''''s leading biomedical journals for the MEDLINE/PubMED database. It is also used for the NLM-produced database that includes cataloging of books, documents, and audiovisuals acquired by the Library. Each bibliographic reference is associated with a set of MeSH terms that describe the content of the item. Similarly, search queries use MeSH vocabulary to find items on a desired topic.

Proper citation: MeSH (RRID:SCR_004750) Copy   

•   Source: SciCrunch Registry

http://mor.nlm.nih.gov/perl/gennav.pl

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. GenNav searches GO terms and annotated gene products, and provides a graphical display of a term's position in the GO DAG.

Proper citation: GenNav (RRID:SCR_000147) Copy   

•   Source: SciCrunch Registry