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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

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Showing 91–100 of 110 papers

TitleStatusHype
Learning Graph Models for Template-Free Retrosynthesis—0
BioNavi-NP: Biosynthesis Navigator for Natural Products—0
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning—0
PolyRetro: Few-shot Polymer Retrosynthesis via Domain Adaptation—0
RetroGNN: Approximating Retrosynthesis by Graph Neural Networks for De Novo Drug Design—0
Data Transfer Approaches to Improve Seq-to-Seq Retrosynthesis—0
Energy-based View of Retrosynthesis—0
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models—0
A Graph to Graphs Framework for Retrosynthesis Prediction—0
Value-Added Chemical Discovery Using Reinforcement Learning—0
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