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Retrosynthesis

Retrosynthetic analysis is a pivotal synthetic methodology in organic chemistry that employs a reverse-engineering approach, initiating from the target compound and retroactively tracing potential synthesis routes and precursor molecules. This technique proves instrumental in sculpting efficient synthetic strategies for intricate molecules, thus catalyzing the evolution and progression of novel pharmaceuticals and materials.

Papers

Showing 8190 of 110 papers

TitleStatusHype
Recent advances in artificial intelligence for retrosynthesis0
Mind the Retrosynthesis Gap: Bridging the divide between Single-step and Multi-step Retrosynthesis Prediction0
MARS: A Motif-based Autoregressive Model for Retrosynthesis Prediction0
Quantum Machine Learning for Material Synthesis and Hardware Security0
G2GT: Retrosynthesis Prediction with Graph to Graph Attention Neural Network and Self-TrainingCode0
SemiRetro: Semi-template framework boosts deep retrosynthesis prediction0
RetroComposer: Composing Templates for Template-Based Retrosynthesis PredictionCode0
Towards understanding retrosynthesis by energy-based models0
Human-in-the-loop for a Disconnection Aware Retrosynthesis0
ChemiRise: a data-driven retrosynthesis engine0
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