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RETROSPECT system boosts chemical retrosynthesis prediction accuracy

By PulseAugur Editorial · [3 sources] ·

Researchers have developed RETROSPECT, a novel system for chemical retrosynthesis that improves prediction accuracy and candidate selection. The system utilizes a Transformer-based proposal model, ChemAlign, combined with a LambdaMART reranker. This approach achieved 55.00% top-1 exact-match accuracy on the USPTO-50K dataset, demonstrating a significant advancement in predicting chemical reactions. AI

IMPACT Enhances AI's capability in scientific discovery, potentially accelerating drug development and chemical research.

RANK_REASON The cluster contains an academic paper detailing a new AI system for a specific scientific domain.

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

COVERAGE [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: A Reasoning LLM for Strategic Retrosynthesis Prediction

    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 ·

    RETROSPECT: RETROsynthesis via Sequential Prediction, and Chemically Transformed-ranking

    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 ·

    RETROSPECT: RETROsynthesis via Sequential Prediction, and Chemically Transformed-ranking

    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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