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English(EN) RETROSPECT: RETROsynthesis via Sequential Prediction, and Chemically Transformed-ranking

RETROSPECT系统提高了化学逆合成预测的准确性

作者 PulseAugur 编辑部 · [3 个来源] ·

研究人员开发了RETROSPECT，一个用于化学逆合成的新系统，提高了预测准确性和候选选择。该系统利用了一个基于Transformer的提案模型ChemAlign，并结合了一个LambdaMART重排器。这种方法在USPTO-50K数据集上实现了55.00%的top-1精确匹配准确率，展示了在预测化学反应方面的重大进展。 AI

影响 增强了AI在科学发现中的能力，可能加速药物开发和化学研究。

排序理由 该集群包含一篇详细介绍特定科学领域新AI系统的学术论文。

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →

RETROSPECT系统提高了化学逆合成预测的准确性

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报道来源 [3]

  1. arXiv cs.AI TIER_1 English(EN) · Hanbum Ko, Chanhui Lee, Ye Rin Kim, Rodrigo Hormazabal, Sehui Han, Sungbin Lim, Sungwoong Kim ·

    RetroReasoner：用于战略逆合成预测的推理大模型

    arXiv:2603.12666v2 Announce Type: replace-cross Abstract: Retrosynthesis prediction aims to identify reactants that can synthesize a given product molecule. Although molecular large language models (LLMs) have recently shown promising results, most existing methods either generat…

  2. arXiv cs.AI TIER_1 English(EN) · Raja Sekhar Pappala, Shreyas Vinaya Sathyanarayana, Ronit Kumar Choudhary, Arjun Verma, Deepak Warrier ·

    回顾：通过顺序预测进行逆合成分析，以及化学转化排序

    arXiv:2606.07181v1 Announce Type: cross Abstract: Single-step retrosynthesis needs both accurate first-ranked suggestions and candidate lists that are rich enough for downstream selection. We study this as a proposal-selection decomposition. Our system, RETROSPECT, combines a sin…

  3. arXiv cs.LG TIER_1 English(EN) · Deepak Warrier ·

    回顾：通过顺序预测进行逆合成分析，以及化学转化排序

    Single-step retrosynthesis needs both accurate first-ranked suggestions and candidate lists that are rich enough for downstream selection. We study this as a proposal-selection decomposition. Our system, RETROSPECT, combines a single Transformer proposal model, which we call the …

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