SMiPoly
AI Models BSD-3-Clause (Free)
About
Rule-based synthesizable polymer virtual library generator. Classifies small-molecule SMILES into monomer classes and generates polymer repeat-unit SMILES via rule-based polymerization reactions.
Citation
Ohno, M.; Hayashi, Y.; Zhang, Q.; Kaneko, Y.; Yoshida, R. SMiPoly: Generation of a Synthesizable Polymer Virtual Library Using Rule-Based Polymerization Reactions. J. Chem. Inf. Model. 63(17), 5539-5548 (2023). DOI:10.1021/acs.jcim.3c00329
Frequently Asked Questions
What is SMiPoly?
SMiPoly is a ai models application available in the Paramus App Store. Rule-based synthesizable polymer virtual library generator. Classifies small-molecule SMILES into monomer classes and generates polymer repeat-unit SMILES via rule-based polymerization reactions.
Is SMiPoly free to use?
Yes. SMiPoly is distributed under the BSD-3-Clause (Free) license and is available at no cost through the Paramus App Store.
How do I install SMiPoly?
SMiPoly 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 SMiPoly for one-click deployment.
What type of application is SMiPoly?
SMiPoly belongs to the “AI Models” 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 SMiPoly run on?
SMiPoly 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 SMiPoly be automated or integrated with AI workflows?
Yes. SMiPoly 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.
How should I cite SMiPoly in publications?
The recommended citation for SMiPoly is: Ohno, M.; Hayashi, Y.; Zhang, Q.; Kaneko, Y.; Yoshida, R. SMiPoly: Generation of a Synthesizable Polymer Virtual Library Using Rule-Based Polymerization Reactions. J. Chem. Inf. Model. 63(17), 5539-5548 (2023). DOI:10.1021/acs.jcim.3c00329