---
id: 20260317-T0-17
title: "多目标遗传编程提升蛋白质结构预测准确率"
title_en: "Multi-objective Genetic Programming Boosts Protein Prediction Accuracy"
url: https://ai.daily.yangsir.net/daily/20260317-T0-17
issue_date: 2026-03-17
publish_date: 2026-03-16T04:00:00.000Z
source_name: "arXiv cs.LG (ML)"
source_url: https://arxiv.org/abs/2603.12293
---

# 多目标遗传编程提升蛋白质结构预测准确率

arXiv研究提出多视图多级特征遗传编程方法，用于蛋白质二级结构预测。该方法整合序列、进化信息和三维结构特征，通过多目标优化同时提高预测准确性和结构稳定性。在标准测试集上，预测准确率达到82.3%，比现有方法高出4.7个百分点，为药物设计提供更可靠工具。

## English Version

**Multi-objective Genetic Programming Boosts Protein Prediction Accuracy**

arXiv study proposes multi-view multi-level feature genetic programming for protein secondary structure prediction. Integrates sequence, evolutionary and 3D features, optimizing for accuracy and stability. Achieves 82.3% accuracy on benchmarks, 4.7% higher than existing methods.

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**来源**：[arXiv cs.LG (ML)](https://arxiv.org/abs/2603.12293)

**详情页**：https://ai.daily.yangsir.net/daily/20260317-T0-17

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