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Multi-Agent Collaboration

Describe your R&D goal in natural language, and multiple specialized agents will divide the work, coordinate analyses, and return integrated findings and recommendations.

Try Multi-Agent

How It Works

01

Natural Language Input

Start an R&D workflow with a single prompt

No need to learn complex software. Simply describe your R&D goal, constraints, and direction in natural language, and the platform will handle intent understanding and task decomposition.

02

Smart Task Assignment

Interpret the goal and break down the task

The orchestration center decomposes complex R&D goals into subtasks and assigns them to the most suitable specialized agents, including antibody design, risk assessment, visualization, and next-step planning.

03

Multi-Step Computation

Use tools and run analyses

Specialized agents coordinate across multiple steps, invoking core computational pipelines such as de novo design, epitope prediction, and affinity maturation, as well as lightweight tools for sequence and structure analysis.

04

Knowledge Consolidation

Capture results and share knowledge

All results are automatically captured in a structured project knowledge base. Team members can work from the same information, avoid silos, and reuse prior analyses and decisions.

Specialized Agent Matrix

Each agent focuses on a specific domain and works under unified orchestration to form a complete R&D capability matrix.

Antibody Design Agent

Performs epitope-focused de novo design, sequence optimization, and candidate recommendation, returning candidates that meet project constraints.

Risk Assessment Agent

Identifies immunogenicity risks and developability bottlenecks, such as aggregation, oxidation, and deamidation sites, and provides optimization suggestions.

Visualization Agent

Generates structure visualizations and sequence alignment views, turning complex data into intuitive visuals.

Next Step Advisor

Recommends follow-up experiments, computational analyses, or validation plans based on current results and project context.

Tool Capabilities

Core Pipelines

The platform orchestrates the core computational steps needed to complete complex R&D tasks efficiently.

De Novo Antibody Design
Epitope Prediction
Affinity Maturation
Antibody Humanization
Nanobody
Humanization
CDR
Diversity

Lightweight Toolkit

A collection of easy-to-use tools for sequence, structure, physicochemical, and antibody-specific analysis.

Information Lookup

Rapidly retrieve protein sequences, functional annotations, experimental structures, and AI-predicted structures, with support for both single and batch lookups, plus automatic domain-annotation visualizations.

Sequence & Physicochemical Analysis

Perform multi-sequence alignment, similarity analysis, molecular weight / pI / amino acid composition calculation, concentration unit conversion, and annotated sequence visualization.

Structure Analysis

Calculate structural deviation using RMSD, extract chain sequences, cluster multiple conformations, and rapidly predict antibody 3D structures from sequence.

Antibody-Specific Analysis

Support antibody numbering and CDR visualization, immunogenicity and developability risk identification, epitope–paratope residue analysis, and molecular interaction visualization reports.

Why Multi-Agent Architecture?

01

Zero Learning Curve

No specialized software required. Natural language input drives the entire R&D workflow.

02

Multi-Perspective Analysis

Multiple specialized agents analyze the same R&D goal from different perspectives, producing more comprehensive results than a single tool.

03

Automated Orchestration

No manual pipeline wiring. The platform understands task dependencies, orchestrates tools, and aggregates results automatically.

04

Continuous Evolution

The agent capability matrix continues to expand, allowing new analysis tools and algorithms to be rapidly integrated into existing workflows.

Experience Multi-Agent Antibody R&D

Describe your R&D goal in one sentence, and let Click.mAb. plan the right workflow path for you.