SynovAI Retrosynthesis
Cloud Services Proprietary (Paid per call)
About
AI-powered synthesis planning and retrosynthesis. Suggests viable synthetic routes for target molecules using a curated reaction knowledge base.
Key Features
- Retrosynthesis route prediction for a target SMILES. Async job returning ranked route trees with literature references.
Frequently Asked Questions
What is SynovAI Retrosynthesis?
SynovAI Retrosynthesis is a cloud services application available in the Paramus App Store. AI-powered synthesis planning and retrosynthesis. Suggests viable synthetic routes for target molecules using a curated reaction knowledge base.
What license does SynovAI Retrosynthesis require?
SynovAI Retrosynthesis is distributed under the Proprietary (Paid per call) license. License compliance is verified during Paramus OS registration.
How do I install SynovAI Retrosynthesis?
SynovAI Retrosynthesis is installed through Paramus Chemistry OS, an on-premise Windows platform for computational chemistry. Open the Paramus App Store in your local installation and select SynovAI Retrosynthesis for one-click deployment.
What are the key features of SynovAI Retrosynthesis?
Key features of SynovAI Retrosynthesis include: Retrosynthesis route prediction for a target SMILES. Async job returning ranked route trees with literature references..
What type of application is SynovAI Retrosynthesis?
SynovAI Retrosynthesis belongs to the “Cloud Services” category in the Paramus App Store. It runs on Paramus Chemistry OS and can also be accessed through Paramus Cloud for supported workflows.
What platform does SynovAI Retrosynthesis run on?
SynovAI Retrosynthesis runs on Paramus Chemistry OS, a Windows-based on-premise platform that provides local compute power for demanding simulations. It requires a Paramus OS installation with appropriate hardware resources.
Can SynovAI Retrosynthesis be automated or integrated with AI workflows?
Yes. SynovAI Retrosynthesis is available as part of the Paramus ecosystem which supports MCP (Model Context Protocol) tools for AI-driven automation. This enables integration with large language models and automated research pipelines.