Gemma 2
Lightweight, state-of-the-art open models from Google
Listed in categories:
Artificial IntelligenceDeveloper ToolsGitHub
Description
AlphaFold 3 is a new AI model developed by Google DeepMind and Isomorphic Labs that accurately predicts the structure and interactions of all life's molecules, including proteins, DNA, RNA, ligands, and more. It aims to transform our understanding of the biological world and drug discovery.
How to use Gemma 2?
Users can access the capabilities of AlphaFold 3 through the newly launched AlphaFold Server, an easy-to-use research tool. The model generates joint 3D structures of molecules, revealing how they interact and fit together. It can be used for drug design, genomics research, and understanding biological processes.
Core features of Gemma 2:
1️⃣
Predicting the structure and interactions of proteins
2️⃣
Modeling large biomolecules such as DNA and RNA
3️⃣
Predicting chemical modifications to molecules
4️⃣
Creating capabilities for drug design
5️⃣
Predicting interactions of proteins with ligands and antibodies
Why could be used Gemma 2?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Advancing drug discovery | ✅ | |
| # 2 | Accelerating genomics research | ✅ | |
| # 3 | Improving understanding of biological processes | ✅ | |
Who developed Gemma 2?
Google DeepMind and Isomorphic Labs have collaborated to develop AlphaFold 3, building on the success of AlphaFold 2 in protein structure prediction. They aim to empower scientists and researchers with advanced AI tools for biological research.