Frequently Asked Questions
Do I need to acknowledge or cite the MolProphet platform in my published article? How should I do so?
If you are a free user of MolProphet and have used results generated by MolProphet in your published article, please cite us in the acknowledgments or references section of your work. You can refer to the following template.
| GB/T 7714 | Yang, K., Xie, Z., Li, Z., Qian, X., Sun, N., He, T., ... & Ju, B. (2024). MolProphet: A one-stop, general purpose, and AI-based platform for the early stages of drug discovery. Journal of Chemical Information and Modeling, 64(8), 2941-2947. |
|---|---|
| APA | Yang, K., Xie, Z., Li, Z., Qian, X., Sun, N., He, T., ... & Ju, B. (2024). MolProphet: A one-stop, general purpose, and AI-based platform for the early stages of drug discovery. Journal of Chemical Information and Modeling, 64(8), 2941-2947. |
| MLA | Yang, Keda, et al. "MolProphet: A one-stop, general purpose, and AI-based platform for the early stages of drug discovery." Journal of Chemical Information and Modeling 64.8 (2024): 2941-2947. |
| Acknowledgement | We acknowledge the support provided by SanOmics Co.,Ltd. with its AI drug discovery platform MolProphet™. (Available online: https://molprophet.com/) |
What is the SanOmics proprietary libraries? What are the featured libraries, and can virtual molecular libraries be customized based on project needs?
We have used AI methods for virtual screening and molecular generation to create a library of dozens of high-quality small molecule compounds that are specific to disease targets. These compounds have been carefully selected and optimized, exhibiting potential drug activity. The libraries contain a diverse range of structures, including various organic molecules and natural products, with different chemical properties and biological activities. These compound libraries can be utilized for high-throughput virtual screening to predict their drug effects and mechanisms of action against different targets, assisting researchers in identifying promising lead compounds.
Specific content of the SanOmics proprietary libraries can be found at SanOmics proprietary libraries - SanOmics
We also accept custom virtual library services, please see Custom virtual library - SanOmics
How is the algorithm professionalism of MolProphet ensured?
Our algorithms include mainstream AI algorithms recognized by the international community and our proprietary algorithms, which have been peer-reviewed. For more information, please see Academic research - SanOmics
Why do most AI tasks start with creating a target pocket?
Our AI algorithms are primarily based on structural screening of target pockets or AI molecular generation. Therefore, to standardize the starting point for tasks, we require users to define the target binding pocket before proceeding with the tasks. Our platform includes a target binding pocket prediction feature, and if the predictions are not accurate, we also provide a function that allows users to manually select several amino acid residues, enabling the system to automatically establish the pocket.
What are the differences between the MolProphet cloud version and the enterprise version? How to update the database and software algorithms when a company adopts self-hosted deployment?
To ensure the privacy of project data for enterprises, we can also deploy the MolProphet platform in a private cloud configuration using a hardware-software integrated machine within the company’s intranet. The privately deployed platform can receive annual updates of our database and the latest algorithm services, and we can perform on-site updates at the enterprise without risking data leakage. You can learn more about the private architecture at MolProphet - SanOmics Hangzhou SanOmics Information.
What are the current users of the MolProphet cloud platform? Can it undertake CRO services?
MolProphet currently has users from many universities, research institutes, and CRO companies both domestically and internationally. We also undertake CRO services, please see Homepage - SanOmics Hangzhou SanOmics Information.