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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
BatGPT-Chem: A Foundation Large Model For Retrosynthesis Prediction0
BioNavi-NP: Biosynthesis Navigator for Natural Products0
Chemical knowledge-informed framework for privacy-aware retrosynthesis learning0
ChemiRise: a data-driven retrosynthesis engine0
Chimera: Accurate retrosynthesis prediction by ensembling models with diverse inductive biases0
Data Transfer Approaches to Improve Seq-to-Seq Retrosynthesis0
Deep Learning Methods for Small Molecule Drug Discovery: A Survey0
DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning0
Energy-based View of Retrosynthesis0
Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning0
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