Machine learning applied to biomedical research


Machine learning applied to biomedical research

 Target identification, prediction of activity and assessment of mechanism of action.

The use of computational tools in the early stages of drug development has increased in recent decades. Machine learning approaches have been of special interest , since they can be applied in several steps of the drug discovery methodology, such as prediction of target structure, prediction of biological activity of new ligands through model construction, discovery or optimization of hits, construction of models that predict the pharmacokinetic and toxicological (ADMET) profile of compounds, and assessment of mechanism of action and identification of new targets for further research.

AUTOR: Sergio Senar

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