Skip to main content

ChEMBL ChEMBL RDF



We would like to draw attention to readers of The ChEMBL-og to an excellent new paper in the Journal of Cheminformatics, describing the work of Egon Willighagen and co-authors in building the first published, publicly available version of ChEMBL data in RDF form (ChEMBL RDF). The paper also provides details on a number of linked data based applications built on top of an RDF data model, demonstrating the benefits of the data transformation. More details about the paper are provided here and the link to the paper is here.

%T The ChEMBL database as linked open data
%A E.L. Willighagen
%A A. Waagmeester
%A O. Spjuth
%A P. Ansell
%A A.J. Williams
%A V. Tkachenko
%A J. Hastings
%A B. Chen
%A D. J Wild
%J J. Cheminf.
%D 2013
%V 5
%O doi:10.1186/1758-2946-5-23

The ChEMBL group have been funded by the IMI OpenPhacts project to build and deploy an RDF version of ChEMBL (which we are currently calling ChEMBL ChEMBL RDF, sorry for the confusion!). With changes in content and curation closely coupled to, and tracking where required, the current relational schema database.

The ChEMBL group's version is available to download and can be picked up from ChEMBL ftpsite here. We have run some project workshops on the ChEMBL ChEMBL RDF, but otherwise have remained a little bit quiet on its existence as we continue to make a number of small changes, hence the minor version number increments, but 15.8 is the latest version and expect 16.0 this week. Just to be clear, the ChEMBL ChEMBL RDF version we are making available is not the same same as the version being described in the Journal of Cheminformatics paper, and the functionality and queries will be non-interoperable.

Our OpenPhacts involvement is not the only reason we have created an RDF version of the ChEMBL database, we have had many requests from the broader global ChEMBL community to provide RDF in our official release process, so going forward this is something we will commit to providing. We are also keen to minimise the impact of changes we make to the ChEMBL relational model, which has evolved significantly since its first release, (ChEMBL data integrators out there will certainly noticed some pretty big changes in our ChEMBL_15 release). So we also commit to keeping the RDF data model in sync with the relational model.

mark

Comments

Popular posts from this blog

Improvements in SureChEMBL's chemistry search and adoption of RDKit

    Dear SureChEMBL users, If you frequently rely on our "chemistry search" feature, today brings great news! We’ve recently implemented a major update that makes your search experience faster than ever. What's New? Last week, we upgraded our structure search engine by aligning it with the core code base used in ChEMBL . This update allows SureChEMBL to leverage our FPSim2 Python package , returning results in approximately one second. The similarity search relies on 256-bit RDKit -calculated ECFP4 fingerprints, and a single instance requires approximately 1 GB of RAM to run. SureChEMBL’s FPSim2 file is not currently available for download, but we are considering generating it periodicaly and have created it once for you to try in Google Colab ! For substructure searches, we now also use an RDKit -based solution via SubstructLibrary , which returns results several times faster than our previous implementation. Additionally, structure search results are now sorted by

Improved querying for SureChEMBL

    Dear SureChEMBL users, Earlier this year we ran a survey to identify what you, the users, would like to see next in SureChEMBL. Thank you for offering your feedback! This gave us the opportunity to have some interesting discussions both internally and externally. While we can't publicly reveal precisely our plans for the coming months (everything will be delivered at the right time), we can at least say that improving the compound structure extraction quality is a priority. Unfortunately, the change won't happen overnight as reprocessing 167 millions patents takes a while. However, the good news is that the new generation of optical chemical structure recognition shows good performance, even for patent images! We hope we can share our results with you soon. So in the meantime, what are we doing? You may have noticed a few changes on the SureChEMBL main page. No more "Beta" flag since we consider the system to be stable enough (it does not mean that you will never

ChEMBL brings drug bioactivity data to the Protein Data Bank in Europe

In the quest to develop new drugs, understanding the 3D structure of molecules is crucial. Resources like the Protein Data Bank in Europe (PDBe) and the Cambridge Structural Database (CSD) provide these 3D blueprints for many biological molecules. However, researchers also need to know how these molecules interact with their biological target – their bioactivity. ChEMBL is a treasure trove of bioactivity data for countless drug-like molecules. It tells us how strongly a molecule binds to a target, how it affects a biological process, and even how it might be metabolized. But here's the catch: while ChEMBL provides extensive information on a molecule's activity and cross references to other data sources, it doesn't always tell us if a 3D structure is available for a specific drug-target complex. This can be a roadblock for researchers who need that structural information to design effective drugs. Therefore, connecting ChEMBL data with resources like PDBe and CSD is essen

ChEMBL 34 is out!

We are delighted to announce the release of ChEMBL 34, which includes a full update to drug and clinical candidate drug data. This version of the database, prepared on 28/03/2024 contains:         2,431,025 compounds (of which 2,409,270 have mol files)         3,106,257 compound records (non-unique compounds)         20,772,701 activities         1,644,390 assays         15,598 targets         89,892 documents Data can be downloaded from the ChEMBL FTP site:  https://ftp.ebi.ac.uk/pub/databases/chembl/ChEMBLdb/releases/chembl_34/ Please see ChEMBL_34 release notes for full details of all changes in this release:  https://ftp.ebi.ac.uk/pub/databases/chembl/ChEMBLdb/releases/chembl_34/chembl_34_release_notes.txt New Data Sources European Medicines Agency (src_id = 66): European Medicines Agency's data correspond to EMA drugs prior to 20 January 2023 (excluding vaccines). 71 out of the 882 newly added EMA drugs are only authorised by EMA, rather than from other regulatory bodies e.g.

ChEMBL 26 Released

We are pleased to announce the release of ChEMBL_26 This version of the database, prepared on 10/01/2020 contains: 2,425,876 compound records 1,950,765 compounds (of which 1,940,733 have mol files) 15,996,368 activities 1,221,311 assays 13,377 targets 76,076 documents You can query the ChEMBL 26 data online via the ChEMBL Interface and you can also download the data from the ChEMBL FTP site . Please see ChEMBL_26 release notes for full details of all changes in this release. Changes since the last release: * Deposited Data Sets: CO-ADD antimicrobial screening data: Two new data sets have been included from the Community for Open Access Drug Discovery (CO-ADD). These data sets are screening of the NIH NCI Natural Product Set III in the CO-ADD assays (src_id = 40, Document ChEMBL_ID = CHEMBL4296183, DOI = 10.6019/CHEMBL4296183) and screening of the NIH NCI Diversity Set V in the CO-ADD assays (src_id = 40, Document ChEMBL_ID = CHEMBL4296182, DOI = 10.601