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Abstract
Artificial Intelligence (AI) is poised or has already begun to influence highly absorption, distribution, metabolism and excretion (ADME) science. It is not in the area expected, that of superior modelling of ADME data to increase its predictive power. It is influencing traditional exhaustive and careful literature research by providing almost perfect summaries of existing information. This will highly influence how people study, graduate and progress in the ADME sciences. The literature contains many flaws, protein binding influence on unbound drug concentration, is one of the examples cited, and without direction AI may help to popularise them.
ADME science has a relatively small number of key assays and values but these are produced under widely varying conditions so large data sets, the best substrate for artificial intelligence, are not readily available to produce new more predictive systems. The use of AI to enrich the data bases may be a near term goal.
AI is already contributing in other areas such as technical skill assimilation, maintenance of complex instruments (combined with virtual reality) and the processing of pharmacovigilance.
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