This year’s ‘In Silico Toxicology’ Network Meeting will take place on 30 September 2020 via… Read More »‘In Silico Toxicology’ Network Meeting 2020 – 30 September 2020, on Zoom, Free and Open to All
Dear All, Please find below recent news about events and vacancies in our area, as… Read More »Cambridge Cheminformatics Newsletter – 24 May 2020
Slides from CompChemKitchen talk in Oxford on 27 March 2020 “Artificial Intelligence in Drug Design… Read More »“Artificial Intelligence in Drug Design – What is Realistic, What are Illusions?”
In order to provide a publicly available version of the newsletter, and also to archive… Read More »Cambridge Cheminformatics Newsletter – 22 March 2020
Given the circumstances, an article that is entirely off-topic, but at the same time entirely… Read More »Having a Child & Running a Research Group in the Times of Coronavirus
Biology has over recent decades moved to finer and finer levels of details, be it… Read More »‘-Omics’ Data – So where is the signal, please?
The recent publication ‘Deep learning enables rapid identification of potent DDR1 kinase inhibitors‘ by the… Read More »So did ‘AI’ just discover its first drug? Comment on “Deep learning enables rapid identification of potent DDR1 kinase inhibitors”
‘All happy molecules are alike; each unhappy molecule is unhappy in its own way.’ Anna… Read More »‘AI’ in Toxicology (In Silico Toxicology) – The Pieces Don’t Yet Fit Together
Artificial Intelligence (AI) has been described as the ‘fourth industrial revolution’, that will lead us… Read More »Why AI and Drug Discovery are no match made in heaven
Machine Learning and Artificial Intelligence are increasing in importance currently – due to significantly increased… Read More »DrugDiscovery.NET – AI and Machine Learning in Drug Discovery, in Practice