Artificial intelligency can bring speed and reliability to drug discovery process. It represents an additional intelligence, which in any case can replace the strategic and logic creative insight of the medicinal chemist who remains the architect and molecule master designer. In terms of drug design, artificial intelligency, deep learning machines, and other revolutionary technologies will match with the medicinal chemist’s natural intelligency, but for sure never go beyond. This manuscript tries to assess the impact of the artificial intelligency on drug (...) discovery today. (shrink)

Trade in high-value-added toxins for therapeutic and biological use is expanding. These toxins are generally derived from microalgae belonging to the dinoflagellate family. Due to the difficulties to grow these sensitive planktonic species and to the complexity of methods used to synthesize these molecules, which are generally complex chemical structures, biotoxin manufacturers called on artificial intelligence technologies. Manufacturing processes have been greatly improved through the development of specific learning neural networks, applied to each phases of biotoxin production: photo-bioreactors operating at (...) optimal yied; new chemical synthesis research processes; toxin biosynthetic research pathways offering short-cut possibilities. (shrink)