Skip to main content

Advanced keyword and structure searches with SureChEMBL


Previously in the SureChEMBL series, we described how to access SureChEMBL data in bulk, offline and locally. So, you may ask, what is the point in using the SureChEMBL web interface? Well, how about the unprecedented functionality that allows you to submit very granular queries by combining: i) Lucene fields against full-text and bibliographic metadata and ii) advanced structure query features against the annotated compound corpus - at the same time?

Let’s see each one separately first:

Lucene-powered keyword searching

You may use the main text box for simple keyword-based patent searches, such as ‘Apple’, ‘diabetes’ or even 'chocolate cake' (the patent corpus as a recipe book is a new use-case here). You will get a lot of results and probably a lot of noise. With Lucene fields, you can slice and dice a query by indicating specific patent sections and bibliographic metadata, such as date/year of filing or publication, assignee, patent classification code, patent authority, etc. For example, to search for the term ‘diabetes’ only in the abstract of patents, you can search with:
ab:diabetes

where ab is the Lucene query field for abstract. For a full list of Lucene queries, see here. Furthermore, you can combine these fields with boolean operators (AND, OR, NOT - always in UPPER case) and brackets. For example to find US patents published in 2014 which also mention the word ‘diabetes’ in the title or abstract, you could search with:

(ttl:diabetes OR ab:diabetes) AND pdyear:2014 AND pnctry:US

or even limit it to more med-chem relevant patent hits by using the appropriate IPC hierarchical classification codes:

(ttl:diabetes OR ab:diabetes) AND ic:(C07D AND (A61K OR A61P)) AND pdyear:2014 AND pnctry:US

Is that all? No, you could also use wildcards, such as * and ?, as well as proximity searches:

(ttl:diabet* OR ab:diabet*) AND pdyear:2014 AND pnctry:US

A couple of thing worth pointing out here:
1) in the way described above, you may search not only the chemically-annotated (EP, US, WO, JP patents) or chemically-relevant corpus but any patent within SureChEMBL’s broad coverage, such as French, German, British, Chinese, Australian, Canadian, etc., patents about any topic:

pa:"Apple Inc" AND ab:vehicle AND pnctry:CN

for such cases, just remember to check the 'All authorities' box on the right hand side panel.
2) If the Lucene query syntax seems too complicated, almost the same functionality is available via a more user-friendly field-based widget called Fielded Search:
  

ChemAxon-powered structure searching

To begin with, SureChEMBL provides basic substructure and similarity searches against the currently 17 million chemical structures, powered by ChemAxon’s JChem technology. Some of you may have noticed that we have recently done some refurbishment around the sketchers and we now provide the latest MarvinJS sketcher as the sole source of structure input. We also removed the manual entry box, as it is superseded by functionality described below. Behind the scenes, we use the native ChemAxon inter-conversion functionality to ensure maximum compatibility and minimum information loss during structure conversions. The good news is that you can input a structure in several ways (besides sketching it from scratch), e.g. SMILES, SMARTS, CML, InChI, Molfile and IUPAC/trivial name. Just click and paste your string on the MarvinJS sketcher or open the import dialogue to paste it right there - or even upload a file. More importantly, you may now take advantage of more advanced query features, such as (NOT) atom and bond lists, explicit hydrogens, as well as the Markush-friendly position variation and repetition ranges.

For example, this is a query that combines atom, not atom, and bond lists, as well as explicit hydrogens to control substitution:


Or this one, which combines position variation and linker repetition range:


Again, don't forget that you have additional control over the MW range of the search hits, as well as their exact location in the patent document (title, abstract, claims, description, images/molfiles).


Combined keyword and structure searching

Finally, as mentioned in the beginning, you can easily submit combined keyword and structure queries, such as this one:


...to our knowledge, there's no other freely available patent searching resource or interface out there providing this type of functionality but we're happy to stand corrected...

As usual, for any questions or feedback, drop us a line.


George and Nathan

Comments

Popular posts from this blog

Here's a nice Christmas gift - ChEMBL 35 is out!

Use your well-deserved Christmas holidays to spend time with your loved ones and explore the new release of ChEMBL 35!            This fresh release comes with a wealth of new data sets and some new data sources as well. Examples include a total of 14 datasets deposited by by the ASAP ( AI-driven Structure-enabled Antiviral Platform) project, a new NTD data se t by Aberystwyth University on anti-schistosome activity, nine new chemical probe data sets, and seven new data sets for the Chemogenomic library of the EUbOPEN project. We also inlcuded a few new fields that do impr ove the provenance and FAIRness of the data we host in ChEMBL:  1) A CONTACT field has been added to the DOCs table which should contain a contact profile of someone willing to be contacted about details of the dataset (ideally an ORCID ID; up to 3 contacts can be provided). 2) In an effort to provide more detailed information about the source of a deposited dat...

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...

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 ...

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...