Back to search

Article

SynPROTAC: synthesizable PROTACs design through synthesis constrained generative model and reinforcement learning

2025-12-12

Abstract excerpt

Protein hydrolysis targeting chimeric (PROTAC) has emerged as a promising technology in degrading disease-related proteins for drug design. Recent deep generative models can accelerate PROTAC design, but the generated molecules are often difficult to synthesize. Here we develop SynPROTAC model, which employs Graphormer encoded warhead or E3 ligand as input, and autoregressively samples reaction templates and build...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
6112406a-47eb-5c9a-ba1d-2478c8b4e807
DOI
10.64898/2025.12.10.693572
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
SynPROTAC: synthesizable PROTACs design through synthesis constrained generative model and reinforcement learningDOI 10.64898/2025.12.10.693572
Select a neighboring publication to make it the new centre.