Spaces:
Running
on
Zero
Running
on
Zero
| class CalMetric: | |
| def __init__(self): | |
| pass | |
| def diversity(self, S_pred, S_ref): | |
| pass | |
| def recovery(self, S_pred, S_ref): | |
| pass | |
| def MSE(self, S_pred, S_ref): | |
| ''' | |
| 输入: S_pred是算法预测的蛋白序列, S_ref是ground truth蛋白序列 | |
| -->通过ESMFold预测S_pred和S_ref的蛋白结构, 并进行对齐, 计算MSE | |
| 返回: MSE | |
| ''' | |
| X_pred = ESMFold(S_pred) | |
| S_ref = ESMFold(S_ref) | |
| X_pred, X_ref = align(X_pred, X_ref) | |
| result = ComputeMSE(X_pred, X_ref) | |
| return result | |
| def Robustness(self, model, X, S): | |
| pass | |
| def Efficiency(self, model, X, S): | |
| pass |