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About Clickmab

Clickmab is focused on AI-driven antibody design. Built on proprietary large models, extensive proprietary antibody data, and a multi-agent architecture, the Click.mAb. platform supports antibody discovery and engineering optimization across the full R&D workflow for biopharmaceutical teams.

Generative AI Platform for Fully Human Common-Light-Chain de novo Antibody Design

抗原表位

User-specified functional epitope

Click.mAb.
从头设计的抗体

De novo designed antibody

Core Platform Capabilities

The platform supports both de novo design and rapid optimization, enabling antibody design against specific antigen epitopes through generative AI models.

It also supports rapid iterative optimization of known antibodies through an integrated computational and wet-lab workflow, making it applicable to a wide range of antibody discovery scenarios.

Generative AI Models
De novo antibody design for specific epitopes
Computational and Wet-Lab Workflow
Rapid iterative optimization of known antibodies
Proprietary Wet-Lab Data
Driven by massive high-quality proprietary data

Core Technical Advantages

Proprietary Wet-Lab Data

Large-scale proprietary wet-lab data ensures model training accuracy and reliability

World-Leading AI Algorithms

Proprietary AI antibody design algorithms at the global frontier for precise and efficient design

AI Agent Technology

Multi-agent collaboration for fully automated antibody R&D workflows

Core Team Capabilities

An interdisciplinary elite team of AI experts, structural biologists, antibody engineers, and wet-lab scientists

AI Algorithms

Top-tier AI algorithm, protein language model, and structure prediction team.

Structural Biology

Deep understanding of biophysical principles of protein structure and function.

Antibody Engineering

Senior expertise in antibody engineering and drug development.

Wet Lab

In-house wet-lab team enabling rapid computation-experiment feedback loops.

Partner With Us

Whether you are a pharmaceutical company, biotech firm, or academic institution, we look forward to exploring collaboration opportunities