MatwingsVenus®
Conversational protein R&D platform with a closed dry-wet lab loop
MatwingsVenus® is an AI-driven, full-stack protein R&D platform for life science and biomanufacturing. It is not a single chat entry or a toolbox, but an infrastructure that unifies data assets, model capabilities, computational tools, experiment collaboration, and automated protein purification.
Core capabilities
Agent workbench
Query protein information, discover candidates, engineer and design proteins, generate sequences, run molecular docking, and predict properties — all through natural language in a single workbench. The agent calls databases and research tools as needed and shows its analysis process and results.
Wet-lab services
Turn computational results or existing research material into gene synthesis, protein expression, protein purification, antibody services, and other custom experiments.
Expert services
Find experts by research field and get consultations or reviews on research plans, computational results, experiment designs, or unexpected findings.
How a typical task flows
Ask a research question
↓
Agent retrieves and analyzes
↓
Check data sources and results
├─ Refine the question or adjust conditions
├─ Submit for wet-lab validation
└─ Ask an expert for review
Wet-lab validation and expert review are optional. You can complete the analysis with the agent alone, or continue directly into wet-lab services or expert services.
Where to start
| What you want to do | Start from |
|---|---|
| Analyze, design, or engineer proteins | Meet the agent workbench |
| Submit an experiment request | Wet-lab services |
| Find and consult domain experts | Expert services |
| Browse or inquire about products | Product center |
| Submit a custom project request | Solutions |
When existing products are what you need, browse and inquire in the MatwingsVenus Mall; when existing products or standard services cannot cover the need, submit a custom project through the Solutions entry.
First time here
If this is your first visit, start with a well-scoped question to get familiar with the agent's input, execution, and result pages.
- Sign in and start a new conversation.
- Describe your subject, goal, constraints, and expected output.
- Send the question and watch the analysis process and tool calls.