Schrodinger
AI/ML Molecular Property Prediction Solution
Pages
2
Time to read
2 mins
Publication
Language
English
Pages
2
Time to read
2 mins
Publication
Language
English
This document is a technical report detailing LiveDesign Learning, a module designed for training and deploying advanced AI/ML models specifically for small molecule drug discovery. It describes how the module treats datasets as dynamic information feeds, allowing for the optimization of models based on the most relevant project compounds. The report outlines the features of LiveDesign Learning, including a fully automated workflow for building and monitoring molecular property predictions, as well as multi-parameter optimization. It emphasizes the integration of AI/ML models into team decision-making processes through a centralized collaborative platform. The technology enables prospective deployment of models, supported by data visualizations and performance metrics that assess predictive power. Additionally, the report highlights the scalability of AI/ML pipelines on a modern cloud infrastructure, capable of modeling numerous properties and generating millions of predictions efficiently. The document serves as a comprehensive guide for understanding the capabilities and applications of LiveDesign Learning in drug discovery programs.