Epitope-Guided Design
Generate antibodies against predefined target epitopes.
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One click for de novo antibody design targeting specific epitopes
Generative AI powering every antibody discovery project
Core computational design capabilities covering key processes in antibody discovery and engineering optimization
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
Aggregation, chemical modification, humanness, polyreactivity & viscosity assessment
Predict antigen epitope regions to guide design strategy
Target & antibody info lookup & annotation
Multi-sequence alignment, physicochemical & feature analysis
Structural alignment, RMSD calculation & 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: designing antibodies around PD-L1 immune evasion-related functional epitopes.
Execution path planned:
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.
Technology 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.
Explore Our Validation & Iteration FrameworkGenerate 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.
As 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 articleClickmab presented the Click.mAb. platform at the 2026 Biophysics Congress, sharing advances in epitope-specific de novo design, affinity maturation, and humanization, with CAS academician Zhang Hong visiting the booth.
Read articleClickmab shared the principles, progress, and R&D applications of epitope-specific AI de novo antibody design.
Read article