This interview has been edited for length and clarity. JORGE GARAY: AI BioDesign seeks to explore possible molecules and biological functions that have never existed in nature. Are there any particular risks involved in venturing into this uncharted territory? How can scientists anticipate those risks and what steps can they take to minimize them before
Artificial-intelligence-based models of protein structure could be improved by incorporating data from pharmaceutical companies.Credit: Miyako Nakamura/Getty For drug discovery, protein-folding models such as AlphaFold have a data problem: there isn’t enough of it in public databases. Improving the performance of these artificial-intelligence-based tools will require extra data that provide examples of how proteins and drugs
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This image shows a section of an organoid. Organoids are lab-grown tissues that model the human brain. A new study used brain organoids to probe key protein interactions that may be linked to profound autism. Courtesy of the UCSF Quantitative Biosciences Institute hide caption toggle caption Courtesy of the UCSF Quantitative Biosciences Institute Scientists have
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