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AI advances retrosynthesis planning with new verification and precedent methods · 2 sources tracked

By PulseAugur Editorial · [2 sources] ·

Two new research papers explore advancements in AI-driven retrosynthesis, a process for determining chemical synthesis routes. The first paper introduces Verification-Guided Reflow (VGR), which integrates reaction verification into the search process to improve the accuracy and efficiency of finding feasible synthesis pathways. The second paper demonstrates how using reaction precedents at inference time can significantly extend the predictive capabilities of retrosynthesis models beyond their training data, even outperforming models trained on more extensive datasets. AI

IMPACT These advancements could accelerate drug discovery and chemical synthesis by improving the accuracy and scope of AI-powered route planning.

RANK_REASON Two academic papers published on arXiv detailing new methods for AI-driven chemical retrosynthesis.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

AI advances retrosynthesis planning with new verification and precedent methods · 2 sources tracked

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Two academic papers published on arXiv detailing new methods for AI-driven chemical retrosynthesis.
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Hongxuan Shi, Hankz Hankui Zhuo ·

    Verification-Guided Retrosynthesis: Reaction Feedback and Evidence Timing

    arXiv:2610.38245v1 Announce Type: new Abstract: Retrosynthesis planning seeks synthesis routes from purchasable starting materials to a target molecule. Search over predicted reactions can connect a target to available materials, yet an infeasible reaction can invalidate the resu…

  2. arXiv cs.AI TIER_1 English(EN) · Jiaxing Sun, Xuli Shen, Jiang Wu, Ruiyi Ding, Ruikang Zhang, Xiao An, Xibao Li, Yubin Wang, Xingjian Wei, Yinfan Wang, Yu Liu, Lingli Ge, Xi Xue, Xiaojian Wang, Lijun Wu, Chang-Yu Hsieh, Yuqiang Li, Bowen Zhou, Dahua Lin, Conghui He ·

    Reaction precedents extend retrosynthetic prediction beyond training coverage

    arXiv:2610.40249v1 Announce Type: new Abstract: Reaction precedents guide retrosynthesis, but how far they can compensate for gaps in task-specific training coverage remains unclear. Using 2.71 million reactions, we restricted training and retrieval coverage by transformation or …

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