{"id":622294,"date":"2026-10-06T13:14:09","date_gmt":"2026-10-06T13:14:09","guid":{"rendered":"https:\/\/www.newsbeep.com\/nz\/622294\/"},"modified":"2026-10-06T13:14:09","modified_gmt":"2026-10-06T13:14:09","slug":"ai-helps-chemists-consider-more-options-when-it-comes-to-picking-the-best-reactants-for-an-experiment-research","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/nz\/622294\/","title":{"rendered":"AI helps chemists consider more options when it comes to picking the best reactants for an experiment | Research"},"content":{"rendered":"<p>Chemists have created a \u2018scope score\u2019 to help evaluate the breadth of a reaction with less bias.<\/p>\n<p>Choosing which substrates to work with is an important part of developing a chemical reaction. Yet despite their importance, reaction scopes have traditionally been generated and evaluated subjectively, with chemists relying largely on their own judgement to decide which molecules to test and which to leave out. This means that useful chemistries may be missed.<\/p>\n<p>To solve this problem, researchers created a new quantitative \u2018scope score\u2019 that they paired with a machine-learning algorithm called ScopeBO to standardise the selection of substrates to maximise both performance and structural diversity.<\/p>\n<p>Existing approaches tend to favour one of two things: substrates that are likely to react or substrates that are structurally different from those already tested. ScopeBO combines both considerations, using machine learning to select substrates that are likely to perform well while also exploring new regions of chemical space. \u2018ScopeBO is an open-source app that [combines] active learning with iterative chemical space pruning to deliver representative high-information scopes,\u2019 says <a href=\"https:\/\/doyle.chem.ucla.edu\/abby\/\" rel=\"nofollow noopener\" target=\"_blank\">Abigail Doyle<\/a> at the University of California, Los Angeles, US.<\/p>\n<p>\u2018ScopeBO is trained on information about existing scope entries and selects the next ones based on their expected performance,\u2019 adds <a href=\"https:\/\/ccas.nd.edu\/people\/sven-roediger\/\" rel=\"nofollow noopener\" target=\"_blank\">Sven Roediger<\/a>, who was a postdoctoral researcher in Doyle\u2019s group at the time of the study. \u2018At the same time, the algorithm also avoids the selection of substrates that are too similar to existing ones.\u2019 He adds that ensures \u2018the reaction space is explored broadly while also maintaining a focus on regions in which the reaction works well\u2019.<\/p>\n<p>Tested across multiple reaction datasets, ScopeBO statistically outperformed existing selection strategies, providing a more information-rich picture of what a reaction can and cannot do. The approach could help researchers design more informative reaction screens and reduce waste experiments, while also improving downstream applications such as synthesis planning, chemical discovery and machine-learning models.<\/p>\n<p>That last point is significant because a reaction scope is more than just a list of examples but increasingly provides data for chemical databases and machine-learning models. How researchers choose their substrates can therefore influence how well those models understand what chemistry is possible.<\/p>\n<p>Failed scope entries are also important for understanding a reaction\u2019s behaviour but are often not reported. \u2018Through the diversity enforcement in ScopeBO, the chemical space is explored more broadly so that poor performing regions are also highlighted and the information gain from the scope is maximised,\u2019 says Roediger.<\/p>\n<p>\u2018In reaction discovery, chemists naturally focus first on finding and documenting examples that work well,\u2019 says <a href=\"https:\/\/www.dcbp.unibe.ch\/ueber_uns\/personen\/prof_dr_reymond_jean_louis\/index_ger.html\" rel=\"nofollow noopener\" target=\"_blank\">Jean-Louis Reymond<\/a> at the University of Bern, Switzerland, who was not involved in the study. \u2018ScopeBO could help them explore a more diverse range of substrates, potentially helping them find those successful reactions faster.\u2019<\/p>\n<p>As AI and machine learning become increasingly embedded in scientific discovery, this raises a broader question around what happens when parts of the scientific process are handed over to algorithms.<\/p>\n<p>\u2018The potential loss lies in over-relying on numerical featurisation \u2026 which might not fully capture structure\u2013activity relationships or mechanistic discontinuities,\u2019 says Doyle. \u2018By keeping the chemist in the loop for search space definition and initial substrate choices, ScopeBO attempts to mitigate this trade-off to an extent.\u2019<\/p>\n<p>Reymond is optimistic that ScopeBO could make a useful contribution to chemistry. \u2018I don\u2019t think using ScopeBO means \u201chanding things over to an algorithm\u201d,\u2019 he says. \u2018It means using a clever method to choose test cases.\u2019 Rather than replacing chemists\u2019 expertise, ScopeBO could give them a way to explore chemical space more broadly, he adds.<\/p>\n","protected":false},"excerpt":{"rendered":"Chemists have created a \u2018scope score\u2019 to help evaluate the breadth of a reaction with less bias. Choosing&hellip;\n","protected":false},"author":2,"featured_media":622295,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[111,139,69,147],"class_list":["post-622294","post","type-post","status-publish","format-standard","has-post-thumbnail","category-science","tag-new-zealand","tag-newzealand","tag-nz","tag-science"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/posts\/622294","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/comments?post=622294"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/posts\/622294\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/media\/622295"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/media?parent=622294"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/categories?post=622294"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/tags?post=622294"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}