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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 91100 of 110 papers

TitleStatusHype
Energy-based View of Retrosynthesis0
Molecule Edit Graph Attention Network: Modeling Chemical Reactions as Sequences of Graph EditsCode1
Learning Graph Models for Retrosynthesis PredictionCode1
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models0
A Graph to Graphs Framework for Retrosynthesis Prediction0
A Bayesian algorithm for retrosynthesisCode1
State-of-the-Art Augmented NLP Transformer models for direct and single-step retrosynthesisCode1
Retrosynthesis Prediction with Conditional Graph Logic NetworkCode1
Value-Added Chemical Discovery Using Reinforcement Learning0
Learning to Make Generalizable and Diverse Predictions for Retrosynthesis0
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