Skip to main content

Integration of a filtered set of PubChem Bioassay data into ChEMBL.


A sub-set of the PubChem Bioassay data has been integrated into ChEMBL.

How is this sub-set defined ?
In PubChem, depositors may assign multiple result types to an assay. However, if an assay is deposited as a ‘confirmatory’ assay (defined as an assay where a range of SID concentrations have been tested, with a view to determining a measurement of potency), then one of the result types must be marked up as an ‘Active Concentration’ (AC) result type. Panel assays may contain many ‘AC’ result types, one per panel member. The AC result type is the calculated potency measurement from the data, and is typically an IC50, EC50, AC50, GI50 or Ki. In addition, the PubChem deposition process requires that each SID in an assay must be assigned a single ‘Activity Summary’, from a controlled vocabulary which includes ‘inactive’, ‘active’ and ‘inconclusive’.

Only assays containing ‘AC’ result types have been integrated into ChEMBL, and from these assays, only activity data and SIDs associated with ‘AC’ result types have been integrated. The ‘Activity Summary’ field in PubChem associated with each integrated activity is also captured and shown in the ‘Activity Comment’ field in ChEMBL. Panel assays are divided into separate assays in ChEMBL, one ChEMBL assay for each panel member.

How are structures normalized ?
An automatic ‘standardization’ of SID structures downloaded from PubChem is carried out prior to integration (using in house protocols). Standard inchis are generated from the standardized mol files, and used to normalize with existing ChEMBL structures. SIDs matching exactly on standard inchi to existing ChEMBL structures are assigned to the existing CHEMBLID (and the mol file already associated with the existing ChEMBL structure is used to represent the searchable structure for this CHEMBLID). Where no match to a standard inchi is achieved, the incoming SID is assigned to a new CHEMBLID, and the standardized mol file for the SID is used to represent the searchable structure. A very small number of SIDs (<0.1%) with standardized mol files that fail to produce valid standard inchis, or to load into a oracle symyx cartridge without errors, are each assigned a new CHEMBLID, and associated with a ‘null’ structure (ie: no mol file is associated with this new CHEMBLID).

How frequently is the integrated data updated ?
Updates are carried out every ChEMBL release cycle.

How are targets mapped ?
Mappings to ChEMBL targets for each integrated PubChem assay has been automated for the initial load. However, manual review of these mappings by expert curators may result in ongoing changes.

How do I filter my query results to exclude or include various data sources ?
Users who prefer to exclude the integrated PubChem data (or any other integrated external data set) from their ChEMBL web-interface searches can do so by clicking ‘Activity Source Filter’ next to the main ChEMBL search bar, and deselecting the sources not required in future searches. Note, however, that these deselections persist between browser sessions. Users querying ChEMBL database dumps directly using SQL, and wishing to achieve this same filtering, should inspect the ‘source’ table, and the foreign keys to this table in the ‘assays’ and ‘compound_records’ tables.

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.

In search of the perfect assay description

Credit: Science biotech, CC BY-SA 4.0 Assays des cribe the experimental set-up when testing the activity of drug-like compounds against biological targets; they provide useful context for researchers interested in drug-target relationships. Ver sion 33 of ChEMBL contains 1.6 million diverse assays spanning ADMET, physicochemical, binding, functional and toxicity experiments. A set of well-defined and structured assay descriptions would be valuable for the drug discovery community, particularly for text mining and NLP projects. These would also support ChEMBL's ongoing efforts towards an  in vitro  assay classification. This Blog post will consider the features of the 'perfect' assay description and provide a guide for depositors on the submission of high quality data. ChEMBL's assays are typically structured with the overall aim, target, and method .  The ideal assay description is succinct but contains all the necessary information for easy interpretation by database u