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Project Ariadne Generates Synthesis Routes with Prompt Conditioning.

Anton Morgunov, Victor S. Batista· June 24, 2026 View original

Summary

Project Ariadne is a new decoder-only route generator that uses prompt conditioning to create multi-step retrosynthetic plans for target molecules. It significantly improves performance on depth and required-starting-material constraints compared to traditional search planners.

Researchers have introduced Project Ariadne, a novel decoder-only route generator designed for chemical synthesis planning. This system reframes retrosynthesis—the process of working backward from a target molecule to available starting materials—as a sequence generation task. Unlike previous direct-generation methods that require separate models for different planning specifications, Ariadne uses a single prompt-completion sequence to represent the target molecule, optional constraints, and the resulting synthesis route. The model, a 24-layer checkpoint, demonstrates strong performance on the RetroCast/PaRoutes mkt-cnv-160 benchmark family. By adding prompt fields for route depth and required starting materials, Ariadne significantly improves solution rates (Solv-0) by 13.7 points for depth constraints and 31.2 points for required-leaf constraints. Ariadne also outperforms DESP, a bidirectional search planner, in terms of required-leaf Top-10 and Solv-0, achieving results in significantly less GPU time. While comparable to DMS Explorer XL for standard reconstruction, Ariadne shows clearer gains on route-holdout reconstruction. This work extends sequence generation capabilities to prompt-conditioned structural route generation, offering a more flexible and efficient approach to retrosynthetic planning.

Why it matters

For professionals in pharmaceutical research, materials science, and chemical engineering, Project Ariadne represents a significant advancement in automated synthesis planning. Its ability to generate constrained retrosynthetic routes more efficiently and flexibly can accelerate drug discovery and chemical development processes.

How to implement this in your domain

  1. 1Explore the codebase and training scripts for Project Ariadne to understand its prompt-conditioned route generation mechanism.
  2. 2Integrate Ariadne into your chemical synthesis planning workflow, particularly for tasks requiring specific depth or starting material constraints.
  3. 3Experiment with different prompt formulations to guide the model towards desired retrosynthetic routes.
  4. 4Benchmark Ariadne's performance against existing retrosynthesis tools on your specific target molecules and constraints.
  5. 5Collaborate with AI researchers to develop Tier-1-3 route checkers to validate the generated routes for experimental chemists.

Who benefits

PharmaceuticalsBiotechnologyMaterials ScienceChemical EngineeringResearch & Development

Key takeaways

  • Project Ariadne is a decoder-only model that generates retrosynthetic routes using prompt conditioning.
  • It significantly improves performance on route-depth and required-starting-material constraints.
  • Ariadne outperforms traditional search planners in efficiency and solution rates for constrained planning.
  • This work advances sequence generation for flexible and efficient chemical synthesis planning.

Original post by Anton Morgunov, Victor S. Batista

"arXiv:2606.24184v1 Announce Type: new Abstract: Retrosynthetic planning seeks to connect a target molecule to commercially available starting materials through a multistep route. Classical planners construct such routes by iteratively applying single-step reaction models within a…"

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