USPTO-50k
PulseAugur coverage of USPTO-50k — every cluster mentioning USPTO-50k across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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AI advances retrosynthesis planning with new verification and precedent methods · 2 sources tracked
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 verif…
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New AI method boosts chemical retrosynthesis accuracy
Researchers have developed a novel method called RetroRLFF (Retrosynthesis via Reinforcement Learning from Forward Feedback) to improve the accuracy of single-step retrosynthesis, a complex inverse problem in chemistry.…
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New framework enviGraph generates synthetic data for biodegradation pathway prediction
Researchers have developed enviGraph, a framework designed to generate synthetic reaction data for training graph-to-sequence predictors in biodegradation pathway prediction. This approach addresses the scarcity of obse…
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New LLM RetroDFM-R offers reasoning-driven retrosynthesis prediction
Researchers have developed RetroDFM-R, a new large language model designed for retrosynthetic planning in organic synthesis and drug discovery. This model utilizes reinforcement learning to provide not just accurate pre…
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LLMs advance chemical retrosynthesis prediction with new models and frameworks · 4 sources tracked
Researchers are developing advanced large language models (LLMs) for chemical retrosynthesis, aiming to improve the prediction of synthetic routes for molecules. One approach, C3LM, utilizes a massive dataset of ~45.6 m…
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New RetroDiT framework improves chemical reaction prediction with structure-aware AI
Researchers have developed a new structure-aware framework for template-free retrosynthesis, a process crucial for chemical reaction prediction. This method, called RetroDiT, utilizes a graph transformer with rotary pos…
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RETROSPECT system boosts chemical retrosynthesis prediction accuracy
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 wi…
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New GRG method boosts AI retrosynthesis accuracy and speed
Researchers have developed a new method called Graph-oriented Representation Guidance (GRG) to improve molecular graph generators for retrosynthesis. This technique guides the generator with representations from pre-tra…