Skip to main content

myChEMBL 19 Released



                     
We are very pleased to announce that the latest myChEMBL release, based on the ChEMBL 19 database,  is now available to download. In addition to the extra data, you will also find a number a great new features. So what's new then?

More core chemoinformatics tools

We have included OSRA (Optical Structure Recognition), which is useful for extracting compound structures from images. OSRA can be accessed from the command line or by very convenient web interface, provided by Beaker (described below). We've also added OpenBabel - another great open source cheminformatics toolkit. This means you can now experiment with both RDKit and OpenBabel and use whichever you prefer.

ChEMBL Beaker

myChEMBL now ships with a local instance the ChEMBL Beaker service. For those not familiar with Beaker, the service provides users with an array of chemoinformatics utilities via a RESTful API. Under the hood, Beaker is using RDKit and OSRA to carry out its methods. With the addition of Beaker in myChEMBL, users can now carry out the following tasks in secure local environment:
  • Convert chemical structure bewteen multiple formats
  • Extract compound information from images and pdfs
  • Generate compound images in raster (png) and vector (svg) forms
  • Generate HTML5 ready representation of compound structure
  • Generate compound fingerprints
  • Generate compound descriptors
  • Identify Maximum Common Substructure
  • Compound standardisation
  • Lots of more calculations

 

New IPython notebooks

We have written a number of new IPyhthon notebooks, which focus on a range of cheminformatics and bioinformatic topics. The topics covered by the new notebooks include:
  • Introduction on how to use ChEMBL Beaker
  • Using the Django ORM to query the ChEMBL database
  • Introduction to BLAST and creation of a simple Druggability Score
  • Introduction to machine learning
  • Analysis of SureChEMBL data, focused on identifying the MCS core identified in a patent 
  • Extraction and analysis of ChEMBL ADME data 

We have also updated the underlying Ubuntu VM to 14.04 LTS, which also required us to make a number of changes the myChEMBL installation. To see how these changes and new additions have effected a bare metal installation of myChEMBL, head over the myChEMBL github repository.

 

Installation

There are 2 different ways we recommend for installing myChEMBL:
  1. Follow the instructions in the INSTALL file on the ftpsite. This will import the myChEMBL VM into VirtualBox
  2. Use Vagrant to install myChEMBL. See this earlier blogpost for more details, but the command to run is:
vagrant init chembl/myChEMBL && vagrant up

   If you already have myChEMBL_18 installed via Vagrant, instead of running 'vagrant box update', we strongly recommend running: 

vagrant box remove chembl/myChEMBL
vagrant init chembl/myChEMBL && vagrant up

Future plans

The myChEMBL resource is an evolving system and we are always looking to add new open source projects, tools and notebooks. We would be really interested to hear from users about what they would like to see in future myChEMBL releases, so please get in touch if you have any suggestions. (Just so you know, we already have a couple of ideas for myChEMBL 20).

We hope you find this myChEMBL update useful and if you spot any issues or have any questions let us know.

The myChEMBL Team

Comments

Unknown said…
Any troubleshooting section, I am one of those having issues with the network thingi in the virtualbox.

I followed the instruction, but cant access the http://IP adress?
Mark Davies said…
Hi Jörg,

Sorry to hear you are having problems with the install. If you have time maybe you could send some more details to 'mychembl at ebi.ac.uk'. One thing we did notice recently, which caused a similar issue to what you describe was the 'Adapter Type' in the Advanced network settings was set to a server version - it should be changed to the desktop equivalent, something like 'Intel PRO/1000 MT Desktop'.

Thanks

Mark

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...