Our investigation revealed that directly fine-tuning substantially improves the scoring performance of the structure module, albeit with limitations. As illustrated in Table we examined two fine-tuning techniques: one using Mean Squared Error (MSE) as the loss function and the other utilizing the Pearson correlation coefficient. The results indicate that the latter outperforms the former in terms of the Pearson correlation coefficient on the final test set. However, while the Pearson-based method predominantly yields results in the 100-140 range (Figure ), the MSE-based method align closely with the actual value distribution. T This difference mainly stems from the direct mapping of the fitted distance values to ABFE through a simple logarithmic transformation.