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パトコア

EstablishmentFebruary 2003
capital2000Ten thousand
addressTokyo/Chiyoda-ku/26th Floor, Sapia Tower, 1-7-12 Marunouchi
phone03-6256-0331
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last updated:May 29, 2024
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Patcore has partnered with Chemical.AI to begin domestic handling of the AI retro-synthesis platform "ChemAIRS."

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Patcore Inc. (Headquarters: Tokyo) has partnered with Chemical.AI (USA/China), a global leader in AI technology for chemical synthesis route design, to begin domestic provision of the AI retro-synthesis platform "ChemAIRS." ChemAIRS is a platform where AI, equivalent to skilled chemists with over 10 years of experience, can automatically propose complex synthesis routes in just a few minutes. It enables the identification of chirality introduction risks, prediction of side reactions and impurities, and the design of highly feasible routes considering raw material availability, yield, and cost. Additionally, it seamlessly integrates with Chemaxon's "Design Hub," for which Patcore serves as the exclusive domestic distributor, accelerating the DMTA cycle in a one-stop manner. Currently, we are accepting applications for a two-week free trial. For more details about the product and to apply, please contact us through Patcore Inc.'s official website. ▶ Two-week free trial now available Try out its capabilities with the challenges in your research lab. ▼ ChemAIRS product page: https://patcore.com/product/chemairs

Jun 01, 2026

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[Free Webinar] Manual Curation Techniques for Accelerating AI/ML Drug Discovery Using SAR and ADME Data | Held on June 11 (Thursday)

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In drug discovery research utilizing AI and machine learning, the biggest factor influencing the accuracy of predictive models is "data quality." Excelra and Patcore will co-host a free online webinar on the theme of GOSTAR(TM), which accelerates AI drug discovery, on June 11, 2026, at 13:30. Utilizing GOSTAR(TM), one of the world's largest manually curated SAR databases, the webinar will explain, with live demonstrations, the acceleration of predictive modeling using ML-ready data, improvements in molecular design accuracy in medicinal chemistry, and the establishment of a data foundation that supports go/no-go decisions from lead optimization. The speaker will be Dr. Nishanth Kandepedu from Excelra, who has over 10 years of experience in the drug discovery field. Researchers in drug discovery from pharmaceutical and biotech companies, AI/ML engineers, and R&D leaders are widely invited to participate. Participation is free, but prior registration is required. Registration will close once capacity is reached. ▼Details & Registration: https://patcore.com/news/webinar-gostar-2026

Jun 01, 2026

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