implementation

Defining the Crew

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Linked challenge: Multi-Agent Antibody-Oligonucleotide Conjugate (AOC) Design with CrewAI & Qwen 3

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Linked challenge

Multi-Agent Antibody-Oligonucleotide Conjugate (AOC) Design with CrewAI & Qwen 3

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Using CrewAI, define three agents: 'Linker Specialist', 'Antibody Engineer', and 'Qwen3_Scientific_Reviewer'. Assign the 'Reviewer' role to the Qwen 3 model. Ensure the 'Linker Specialist' focuses on cathepsin-B-cleavable chemistry. Provide the initialization code including 'from crewai import Agent, Task, Crew'.

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Keep stable

Hold the task contract and output shape stable so generated implementations remain comparable.

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Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.

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implementation

This prompt already mixes executable detail with instructions, so tune examples and interfaces before rewriting the scaffold.

Linked challenge

Multi-Agent Antibody-Oligonucleotide Conjugate (AOC) Design with CrewAI & Qwen 3

Antibody-oligonucleotide conjugates (AOCs) are a rapidly evolving drug modality that combines the targeting precision of antibodies with the gene-silencing power of oligonucleotides. In this challenge, you will use CrewAI to orchestrate a collaborative team of AI agents to design a novel AOC. The team will consist of a Linker Chemist, a Target Biologist, and a Senior Peer Reviewer powered by the Qwen 3 model. Your task is to automate the selection of the optimal antibody-target pair and the chemical linker strategy (e.g., cleavable vs. non-cleavable) for a specific disease indication like Myotonic Dystrophy. The Qwen 3 agent will act as the 'Scientific Critic,' leveraging its high-reasoning capabilities to evaluate the safety and efficacy of the designs proposed by the other agents. The final output must be a comprehensive AOC Synthesis Protocol that details the conjugation site, the oligonucleotide sequence, and the predicted pharmacokinetic profile.

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