  We used machine learning methods to predict NaV1.7 inhibitors and found the
model RF-CDK that performed best on the imbalanced dataset. Using the RF-CDK
model for screening drugs, we got effective compounds K1. We use the cell patch
clamp method to verify K1. However, because the model evaluation method in this
article is not comprehensive enough, there is still a lot of research work to
be performed, such as comparison with other existing methods.
  The target protein has multiple active sites and requires our further
research. We need more detailed models to consider this biological process and
compare it with the current results, which is an error in this article.
  So we want to withdraw this article.
