SRA celebrates her 10-year anniversary with a regional conference and workshop for African researchers at the Medical Research Council at The London School of Hygiene and Tropical Medicine in The Gambia
The objective of the programme was to promote the use of artificial intelligence techniques to support medical researchers working on antimicrobial resistance. Tools developed by the facilitators and explored during the workshop include:
Mabellini: a genome-wide database for understanding the structural proteome and evaluating prospective antimicrobial targets of the emerging pathogen Mycobacterium abscessus, developed by Marcin J Skwark, Pedro H M Torres, Liviu Copoiu, Bridget P. Bannerman, R Andres Floto, Tom L Blundell. http://www.mabellinidb.science/
This is a follow up to the workshop series organised last year in Freetown, Sierra Leone where we focussed on machine learning and other artificial intelligence tools to support drug discovery efforts against emerging drug resistance. An example was TrypanoCyc, the tool developed to aid drug discovery initiatives against Trypanosoma brucei, causative agent of the African Sleeping sickness disease. TrypanoCyc was originally developed by Bridget P. Bannerman, Nick Peters and Matthew Berriman at the Wellcome Trust Sanger Institute in Cambridge and the International Trypanotolerance Center in The Gambia (https://biocyc.org/TRYPANO/organism-summary?object=TRYPANO).