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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
Predicting retrosynthetic pathways using a combined linguistic model and hyper-graph exploration strategy0
Quantum Machine Learning for Material Synthesis and Hardware Security0
RCsearcher: Reaction Center Identification in Retrosynthesis via Deep Q-Learning0
Recent advances in artificial intelligence for retrosynthesis0
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning0
RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation0
RetroGNN: Approximating Retrosynthesis by Graph Neural Networks for De Novo Drug Design0
RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction0
Retro-prob: Retrosynthetic Planning Based on a Probabilistic Model0
Retro-Rank-In: A Ranking-Based Approach for Inorganic Materials Synthesis Planning0
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