Click.mAb.

Multi-agent AI Antibody Design Platform

Epitope-Specific Antibody de novo Design with Only One-Click!

Generative AI: Powering every antibody discovery project.

Platform Introduction

Click.mAb. is an AI-driven antibody design and optimization platform developed by Clickmab. Driven by the intelligence of large language models, it offers one-stop solution to help users quickly and conveniently complete tasks such as epitope-specific antibody de novo design, antibody engineering, structure prediction, antibody design and optimization. Leveraging generative AI models, Clickmab can simulate the evolution process of antibody generation and affinity maturation in fully humanized mice, developing the "AI Electronic Mouse." This innovative tool enables the de novo AI-driven design of antibodies targeting specific epitopes.

One-stop workflow for AI Computational Design

Epitope-Specific Antibody de novo Design

AI-based Epitope-Specific Antibody de novo Design

Deliver antibody binder sequences

Humanization of monoclonal antibodies

AI model optimization Humanization score

Confirme optimized antibody

Humanization level
Affinity
Expression Level

As expected

Epitope-Specific Antibody de novo Design

AI-based Epitope-Specific Antibody de novo Design

Deliver antibody binder sequences

Humanization of monoclonal antibodies

AI model optimization Humanization score

Confirme optimized antibody

Humanization level
Affinity
Expression Level

As expected

AI models and computational tools for antibody

Sequence Analysis

Antibody numbering, Risk site prediction

Antibody Numbering
CDR Region, Framework Region
Glycosylation Sites
Deamidation
Isomerization
Fragment
Oxidation

Structure Prediction

Antibody-Antigen complex structures prediction

Antigen Sequence

Antibody Sequence

Epitope Prediction

Antigen epitope prediction for antibody binding

Humanization

Monoclonal antibody humanization score

Antibody Sequence

>VH QVQLVQSGAEVKKPG…

>VL DIQMTQSPSSLSASV…

AI model optimization Humanization score

Sequence Analysis

Antibody numbering, Risk site prediction

Antibody Numbering
CDR Region, Framework Region
Glycosylation Sites
Deamidation
Isomerization
Fragment
Oxidation

Structure Prediction

Antibody-Antigen complex structures prediction

Antigen Sequence

Antibody Sequence

Epitope Prediction

Antigen epitope prediction for antibody binding

Humanization

Monoclonal antibody humanization score

Antibody Sequence

>VH QVQLVQSGAEVKKPG…

>VL DIQMTQSPSSLSASV…

AI model optimization Humanization score

How to Use

Features and Highlights

Epitope-Specific Antibody de novo Design with Only One-Click!

Accessing cutting-edge AI algorithms at unbeatable prices.

Natural language conversation with zero usage barriers.

Interacting with multiple agents for a brand-new user experience.

Bringing endless possibilities to antibody discovery anytime and anywhere

Antibody de novo Design

User-specified antigenic epitope residues

AI prediction to select the appropriate framework region

AI-driven generation of CDRH3

AI-driven affinity scoring and selection

Phage display screening for further validation

Our AI-driven antibody de novo design model and computational workflow based on a large amount of internal sequence and structural data, enables precise de novo design of fully human, common light chain antibodies targeting your specified antigen epitopes.

Antibody Humanization

The sequence of the parent monoclonal antibody that the user provdies

AI-generated library of tens of thousands of framework regions

CDR grafting to the framework region

AI model scoring and screening

Recombinant expression and validation by wet-lab

Clickmab has developed a novel AI-driven algorithm for antibody humanization based on our Intelligent Agents AI Antibody Design Platform that leverages an extensive human framework library to explore diverse antibody framework regions. The Intelligent Agents AI Antibody Design Platform www.clickmab.com is now online, offering a user-friendly experience with no barriers to entry, ensuring efficiency, convenience, and ease of use.

More Features

Biopharmaceutical Q&A

Communication with an intelligent agent to obtain the latest biopharmaceutical information

Antigenic Epitope Prediction

Predicting antigen epitopes that antibodies bind with leading epitope prediction algorithms

Antibody Structure Prediction_ImmuneBuilder

Antibody structure prediction and visualization based on advanced AI models

Protein Complex Structures Prediction_Alphafold2

Protein structure prediction based on AF2

Antibody risk site prediction

Risk site analysis and report issuance based on AI models and computational methods

Case & Report

Case Study

Generative AI-based epitope-specific antibody de novo design

For any antigen target structure, by specifying the antigen epitope, Clickmab utilizes its state-of-the-art generative AI models to perform de novo antibody design.

More details

Case Study

Humanization of monoclonal antibodies

Humanizing the sequences of murine monoclonal antibodies to improve the degree of humanization of antibodies and reduce immunogenicity.

More details

Case Study

Epitope prediction

Given the antigen structure and antibody sequence, the INSPIRE-SEEN AI model from Clickmab can accurately predict the epitope patch bound by the antibody.

More details

Technical Report

Guidelines for wet-lab validation of De Novo Antibody Designs

This report will demonstrate the wet-lab validation process of AI-generated de novo antibodies for specific epitopes. The designed antibodies that bind to the specified epitopes are obtained through gene synthesis, display screening, and recombinant expression validation. This facilitates the wet-lab validation of the designed antibodies by researchers.

More details

Antibody De Novo Design Workflow Demonstration Example2025-2-25

Antibody Humanization Demonstration Example2025-2-25

Case Study | Targeting HER2: New Insights into Epitope-Specific Design from Trastuzumab and Pertuzumab2025-3-26

Nanobody Humanization Demonstration Example2025-4-11