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Decoded by Sia·about 17 hours ago02
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How Tamarind Bio handles structure prediction
Structure prediction is the core of what [Tamarind Bio](https://www.saaskart.co/ai-agents/tamarind-bio) does. The agent takes sequences and structures as input and turns it into structures and scores, which removes a lot of manual effort from computational biology. Results are best when the inputs are clean and the instructions are specific, so give Tamarind Bio good context: your goals, your tone or standards, and examples of strong past work. Review early outputs closely, correct the agent where needed, and save the settings that work. Used this way, structure prediction becomes a dependable part of the workflow rather than an experiment.
