PhD student Gianmarco Ghiandoni recently attended well known chemoinformatics conference GCC 2019, in Mainz, Germany, as an official speaker.
'I presented some content from my PhD project which describes the use of Reaction Class Recommendation models in de novo Drug Design', says Gianmarco. 'These models have shown to have a role as deterministic search components which maximise the chance of generating meaningful synthetic patterns in de novo design and compound optimisation.'
'In addition to this, the application of these models has resulted to yield product libraries characterised by higher synthetic accessibility, whilst reducing drastically the algorithmic enumeration times.'
'I presented some content from my PhD project which describes the use of Reaction Class Recommendation models in de novo Drug Design', says Gianmarco. 'These models have shown to have a role as deterministic search components which maximise the chance of generating meaningful synthetic patterns in de novo design and compound optimisation.'
'In addition to this, the application of these models has resulted to yield product libraries characterised by higher synthetic accessibility, whilst reducing drastically the algorithmic enumeration times.'
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