Searching the RRID Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.

Search

Type in a keyword to search

On page 1 showing 1 ~ 6 out of 6 results
Snippet view Table view Download 6 Result(s)
Click the to add this resource to a Collection
  • RRID:SCR_004001

    This resource has 1+ mentions.

http://www.asiancancerresearchgroup.org/

An independent, not-for-profit consortium to accelerate research, and improve treatment for patients affected with the most commonly-diagnosed cancers in Asia by generating a genomic data resource for the most prevalent cancers in Asia. ACRG is focusing its initial efforts on Asian liver, gastric and lung cancers. Goals * Generate comprehensive genomics data sets for Asia-prevalent cancers * Conduct all research under good clinical practices and in accordance with local laws * Uncover key mutations and pathways for developing targeted therapies * Discover molecular tumor classifiers for patient stratification * Discover prognostic markers to identify high-risk patients * Freely share resulting raw data with scientific community to empower researchers globally and enable development of new diagnostics and medicines * Publish data analysis results jointly in prominent scientific journals Over the next two years, Lilly, Merck and Pfizer have committed to create an extensive pharmacogenomic cancer database that will be composed of data from approximately 2,000 tissue samples from patients with lung and gastric cancer that will be made publicly available to researchers and, over time, further populated with clinical data from a longitudinal analysis of patients. Comparison of the contrasting genomic signatures of these cancers could inform new approaches to treatment. Lilly has assumed responsibility for ultimately providing the data to the research public through an open-source concept managed by Lilly''''s Singapore research site. Moreover, Lilly, Merck and Pfizer will each provide technical and intellectual expertise. One dataset can be found at http://gigadb.org/dataset/100034

Proper citation: Asian Cancer Research Group (RRID:SCR_004001) Copy   


  • RRID:SCR_003858

    This resource has 1+ mentions.

https://www.europeanleadfactory.eu/

Consortium that promotes the discovery of novel small molecule candidates suitable for subsequent optimization either to drug candidates or to high-quality pharmacological tools for the experimental validation of targets using open innovation and crowd sourcing. It is designed to provide best-in-class resources and funding-in-kind, to academics or small and medium enterprises (SMEs) who are working on promising biology targets or chemistry scaffolds. Screening of compounds to assess their activity is also funded and performed by the EU Lead Factory, with collaboration to help develop an Improved Hit List from the Qualified Hit List. They will provide collaborative screening of previously safeguarded, high quality corporate compounds. Around 300,000 compounds in the EFPIA Compound Collection, contributed by EFPIA members, will be screened against both commercially contributed biology targets and targets from public sources. The second phase of the consortium is to build a substantial new Public Compound Collection of around 200,000 compounds. Together, the EFPIA and Public compound collections will form a 500,000-strong Joint European Compound Collection. Target program owners and compound contributors will receive a Qualified Hit List (QHL) of up to 50 compounds complete with relevant information to help in the development of an Improved Hit List (IHL). Target program owners, will have exclusive access to threshold active compounds in their QHL. After the three-year exclusivity period, QHL/IHL information will be made public. Milestone payments are due if direct exploitation proceeds, not for research use. And owners and contributors will give EFPIA participants the right to submit a first bid (which they do not have to accept).

Proper citation: European Lead Factory (RRID:SCR_003858) Copy   


  • RRID:SCR_004079

    This resource has 1+ mentions.

http://www.medinadiscovery.com/

A non-profit research center established through a public-private alliance between the Regional government of Andalusia, the pharmaceutical company Merck Sharp & Dohme Spain S.A. (MSD), and the University of Granada, that is focused on: # Discovery of new compounds and therapies as new leads for drug development # Contract Research Services: High throughput screening services for lead discovery, ADME/TOX, bioanalysis and metabolomics MEDINA offers 1) natural products screening services for lead discovery on therapeutic targets developed by the customers and 2) compound profiling services for their drug candidates, using a counterscreening panel designed to determine potential risks in cardiovascular safety and drug-drug interactions.

Proper citation: MEDINA Foundation (RRID:SCR_004079) Copy   


  • RRID:SCR_003765

    This resource has 10+ mentions.

http://www.etriks.org/

Research informatics and analytics platform for the IMI OncoTrack consortium.

Proper citation: eTRIKS (RRID:SCR_003765) Copy   


  • RRID:SCR_003878

    This resource has 10+ mentions.

http://www.alzheimer-europe.org/Research/PharmaCog

Project aiming to tackle bottlenecks in Alzheimer''''s disease research and drug discovery by developing and validating new tools to test candidate drugs for the treatment of symptoms and disease in a faster and more sensitive way. They will provide the tools needed to define more precisely the potential of a drug candidate, reduce the development time of new medicines and thus accelerate the approvals of promising new medicines. By bringing together databases of previously conducted clinical trials and combining the results from blood tests, brain scans and behavioral tests, the scientists will develop a ''''signature'''' that gives more accurate information on the progression of the disease and the effect of candidate drugs than current methods do. The scientists will conduct parallel studies in laboratory models, healthy volunteers and patients in order to better predict good new drugs as early as possible. This will enable them, for instance, to find out how memory loss in Alzheimer''''s disease can be simulated in healthy volunteers, for example with sleep deprivation or drugs that temporarily affect the memory, in order to test the effect of candidate-medicines early in the drug development process.

Proper citation: PharmaCog (RRID:SCR_003878) Copy   


  • RRID:SCR_005050

    This resource has 10+ mentions.

http://www.openphacts.org/

Project that developed an open access discovery platform, called Open Pharmacological Space (OPS), via a semantic web approach, integrating pharmacological data from a variety of information resources and tools and services to question this integrated data to support pharmacological research. The project is based upon the assimilation of data already stored as triples, in the form subject-predicate-object. The software and data are available for download and local installation, under an open source and open access model. Tools and services are provided to query and visualize this data, and a sustainability plan will be in place, continuing the operation of the Open PHACTS Discovery Platform after the project funding ends. Throughout the project, a series of recommendations will be developed in conjunction with the community, building on open standards, to ensure wide applicability of the approaches used for integration of data.

Proper citation: Open PHACTS (RRID:SCR_005050) Copy   



Can't find your Tool?

We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.

Can't find the RRID you're searching for? X
  1. Neuroscience Information Framework Resources

    Welcome to the NIF Resources search. From here you can search through a compilation of resources used by NIF and see how data is organized within our community.

  2. Navigation

    You are currently on the Community Resources tab looking through categories and sources that NIF has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.

  3. Logging in and Registering

    If you have an account on NIF then you can log in from here to get additional features in NIF such as Collections, Saved Searches, and managing Resources.

  4. Searching

    Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:

    1. Use quotes around phrases you want to match exactly
    2. You can manually AND and OR terms to change how we search between words
    3. You can add "-" to terms to make sure no results return with that term in them (ex. Cerebellum -CA1)
    4. You can add "+" to terms to require they be in the data
    5. Using autocomplete specifies which branch of our semantics you with to search and can help refine your search
  5. Save Your Search

    You can save any searches you perform for quick access to later from here.

  6. Query Expansion

    We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.

  7. Collections

    If you are logged into NIF you can add data records to your collections to create custom spreadsheets across multiple sources of data.

  8. Sources

    Here are the sources that were queried against in your search that you can investigate further.

  9. Categories

    Here are the categories present within NIF that you can filter your data on

  10. Subcategories

    Here are the subcategories present within this category that you can filter your data on

  11. Further Questions

    If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.

X