Since ChEMBL 20, molecules in ChEMBL that are known pesticides have been linked to the mechanism of action classification assigned by the Fungicide Resistance Action Committee (FRAC: http://www.frac.info), Herbicide Resistance Action Committee (HRAC: http://www.hracglobal.com) or Insecticide Resistance Action Committee (IRAC: http://www.irac-online.org). These Committees provide information on the mechanism of action of key pesticides as part of ongoing efforts to combat pesticide resistant fungi, plants, and insects, and to prolong the use of existing pesticides. Supplementing ChEMBL with curated pesticide data from key organisations complements the wealth of compounds within ChEMBL explored for applications in human health, supporting a move towards a OneHealth approach. These classification schemes group pesticides both by their mode of action and chemical class. From ChEMBL 20 to ChEMBL 35 classifications were stored within ChEMBL in three tables, with three associated mapping tabl...
As part of a funded collaboration with Open Targets, there are two open positions as part of a team to develop a drug side effect resource: We are looking for two enthusiastic and talented NLP data scientists, cheminformaticians or bioinformaticians with experience in NLP and knowledge extraction to join the Open Targets Safety 2.0 project for a period of 3 years. You should enjoy delving into ways of addressing challenges in knowledge extraction and data standardisation, and want to contribute to open source code and resources. The project will develop a new side effect resource for drug discovery based on the extraction of side effect data from a range of documents. Your role will focus on developing data extraction pipelines using NLP models and implementing modern NLP methods and technologies suitable to the extraction of safety data. The position provides a real opportunity to make a significant impact on a critical problem in drug discovery for the many users of the Open Ta...