Technical internships at ChEMBL

Technical internships at ChEMBL.

We are looking for skilled Computer Science (and related fields) students with strong programming skills to join our team for 3-6 month internships. This is not necessarily a summer internship program, you can start whenever convenient for you after being accepted. Please take a look at some of the research ideas / candidate profiles below:

1. Java programmer - we are looking for a person with experience in Java to develop a prototype of new KNIME nodes for interacting with the ChEMBL API. Experience with REST and/or KNIME is a plus but not a requirement - you can learn it during your internship. A very important thing to note that you should be excited about UX and creating user-friendly and pragmatic GUIs.

2. C++ programmer - we would like to invite a person passionate about C++ and pattern recognition / image processing to experiment with optimising the open-source OSRA code. OSRA is like OCR but for molecules. We want to make it faster and more accurate.

3. C++ programmer with a graph theory knowledge. Chemical compounds are represented as graphs in-silico. We want to be able to quickly generate random graphs that would also be valid compounds. Experience with distributed computing, computing grids, network file systems and map-reduce is a plus but not required.

4. JavaScript programmer - "any application that can be written in JavaScript, will eventually be written in JavaScript". This is why we are looking for a person with JS experience to experiment with:

Creating prototypes of reusable chemical web widgets using polymer.
Using emscripten to cross compile some core chemical software written in C++ to JS.

5. A person with a data visualisation skills to explore Kibana and Kibi tools to create beautiful and informative datavis widgets from ChEMBL data.

6. Someone with the Natural Language Processing background to:

Create a dictionary of common spelling mistakes in chemistry patents.
Create a network of patent relations using textrank algorithm.
Explore different approaches to the Named Entity Classification problem.

How to apply?

Just send your CV to kholmes @ ebi.ac.uk with 'ChEMBL Tech Internships' subject.

When to apply?

You can apply anytime but we will only contact selected candidates.

Will all those internships start at the same time?

No, in fact we are planning to select max. 2 most interesting candidates at a given time.

Will I get paid?

The internship is paid 800 GBP per month OR funded by your alma mater (whatever is better for you).

Comments

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...

The ChEMBL-og

Search This Blog