DeepCure
Accelerating Drug Discovery With Revolutionary AI
Healthcare & Life Sciences
Highlights
DeepCure, Google Cloud, and CWX demonstrate the potential for chemistry LLMs to increase productivity in medicinal chemistry. Google's & CWX expertise in real-time patent searches, publications, images, and language translation, combined with its custom Gemini Al chatbot created by CWX, enables scientists to interact with Al and receive reasoned, data-backed responses.
The Challenge
Traditional methods for small molecule discovery were inefficient, requiring manual data extraction and analysis. DeepCure needed an AI-powered platform to speed up research and identify hidden chemical patterns to discover new drug candidates faster.
The Solution
DeepCure partnered with CWX and Google Cloud to build AI models using Vertex AI and Document AI. These models automated data processing and harmonization, reducing manual efforts by 7x, and empowered DeepCure's scientists to accelerate their research and discovery process.
The Implementation Process
AI Model Development: Built custom models with Vertex AI to analyze chemical data at scale.
Platform Setup: Used GCP infrastructure for secure, scalable data storage.
Process Optimization: Streamlined data harmonization, cutting manual tasks by 7x.
Accelerated Research: Enabled faster iteration, speeding up drug candidate identification.
"Our new Google Cloud-based solution streamlined our chemical data harmonization process. What used to take hours of manual work now takes just minutes. We've seen over a seven-fold reduction in data processing time. This frees up our scientists to focus on complex, high-value activities such as problem-solving and more creative aspects of drug design,"