Chai-1
由 Chai Discovery 开发的多模态生物分子结构预测模型,支持蛋白质、核酸和小分子复合体的联合结构预测。 该模型采用开放权重发布策略,适用于药物靶点发现和先导化合物优化,为药物研发提供了新的开源工具。
| Property | Value |
|---|---|
| Purpose | 多模态生物分子结构预测与药物发现 |
| Time Complexity | O(n^2) |
| Space Complexity | O(n^2) |
| Year | 2024 |
| Category | Protein Structure Prediction |
Complexity Analysis
- Time Complexity:
O(n^2) - Space Complexity:
O(n^2)
Performance Insight: The time complexity of this algorithm is quadratic (O(n²)), suitable for moderate data sizes; consider approximation algorithms for large inputs. High space complexity; consider Hirschberg-style space-optimized variants for very long sequences.
Note: Complexity analysis is based on theoretical models. Actual runtime is affected by input scale, hardware, and implementation optimizations. Benchmark for your specific workload.
Literature & Implementation
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