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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 5160 of 110 papers

TitleStatusHype
ChatGPT-powered Conversational Drug Editing Using Retrieval and Domain FeedbackCode1
MotifRetro: Exploring the Combinability-Consistency Trade-offs in retrosynthesis via Dynamic Motif EditingCode1
G-MATT: Single-step Retrosynthesis Prediction using Molecular Grammar Tree Transformer0
O-GNN: Incorporating Ring Priors into Molecular ModelingCode1
Deep Learning Methods for Small Molecule Drug Discovery: A Survey0
Retrosynthetic Planning with Dual Value NetworksCode1
RCsearcher: Reaction Center Identification in Retrosynthesis via Deep Q-Learning0
Recent advances in artificial intelligence for retrosynthesis0
Mind the Retrosynthesis Gap: Bridging the divide between Single-step and Multi-step Retrosynthesis Prediction0
MechRetro is a chemical-mechanism-driven graph learning framework for interpretable retrosynthesis prediction and pathway planningCode1
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