Epitope-Guided Design
Generate antibodies against predefined target epitopes.
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Design epitope-specific antibodies in one click
Generative AI powering every antibody discovery project
Core computational capabilities across antibody discovery and engineering
Generate human antibodies targeting specific epitopes
Structure-guided mutation design for affinity enhancement
Design CDR diversity libraries based on the parent antibody
Optimal framework matching to minimize immunogenicity risk
Balance activity and humanness for VHH-specific structures
Enter a target name to gather public data on structure, function, and drug-development progress in a structured research report.
Upload or specify a paper to break down the research question, methods, key data & conclusions into a structured summary
Turn a candidate molecule or technical concept into a draft invention disclosure covering the technical background, inventive features, and implementation.
Aggregation, chemical modification, humanness, polyreactivity, plus viscosity (mAb) or thermostability (nanobody) assessment
Predict an antibody's likely epitope to guide design decisions
Quickly retrieve and annotate target and antibody information
Multiple-sequence alignment and analysis of physicochemical properties and sequence features
Structure alignment, RMSD calculation, and conformational clustering
“No complex software or preset workflows — just state your R&D goal, constraints, and direction. The platform handles intent understanding, path planning, and tool orchestration automatically.”
Design candidate antibodies targeting functional epitopes mediating PD-L1 immune evasion.
Target confirmed: design antibodies against functional epitopes involved in PD-L1-mediated immune evasion.
We've mapped out the workflow:
Multiple design workflows can be executed simultaneously within a single project. Historical decisions and design records remain fully traceable.
Whether working individually or as a team, AI provides support throughout every stage of the discovery process.
Project data, design outputs, and decision records are automatically consolidated into a shared knowledge base for seamless collaboration.
All project activities are documented and preserved, transforming research outputs into reusable organizational knowledge.
Experimental Validation
Click.mAb. delivers more than antibody sequences. The platform integrates epitope selection, candidate generation, developability assessment, and experimental validation workflows, enabling teams to make informed decisions faster.
View Validation Data and Case StudiesGenerate antibodies against predefined target epitopes.
Evaluate candidates using sequence-, structure-, and developability-based metrics.
Validate computational predictions through laboratory testing.
Preserve design records, analyses, and decisions for future reuse and collaboration.
Deciding whether a new target is worth pursuing usually means digging through scattered literature, databases, patents, and pipeline data. Click.mAb.'s new target research feature turns a single target name into a full, continuously editable research report across 10+ core dimensions.
Read articleAs candidate pools grow, the real question becomes which candidates are worth advancing. Click.mAb. now offers candidate list management and five-dimensional developability risk analysis, helping R&D teams centralize candidate sequences and assess potential risks across aggregation, chemical modification, humanness, polyreactivity, and viscosity to support candidate selection and optimization decisions.
Read articleThe 2026 Biophysics Congress was recently held in Hainan, where Clickmab presented its proprietary Click.mAb. AI antibody R&D platform and shared its technical explorations in epitope-specific de novo design, affinity maturation, and humanization. During the congress, Zhang Hong, academician of the Chinese Academy of Sciences and president of the Chinese Biophysical Society, visited Clickmab's booth for an in-depth exchange.
Read article