Open bwang-ecnu opened 1 year ago
Hi, thank you for your feedback! I checked the results just now and got the predicted output of all "[0]". (I also modified the code slightly, just for convenience).
Maybe you can check the running process of openbabel
. For convenience, I insert the shell script to the prepare_data.ipynb
, which may lead to the invisible running process. You can check it in the command line for verifying. Another which may influence the results is the version of openbabel. The version that I use is 2.3.2.
Thank you for your reply. According to your prompt, I have checked the reason: I used openbabel3.1 before, so ‘obabel’ command should be used instead of ‘babel’. But whether I used openbabel3.1 or reinstalled openbabel2.4.0(I didn't find the source package for 2.3.2), the predicted value for all three structures was ["1"]. Maybe I have a problem when I process the data. Could you please provide a complete script for testing these three structures (from preparing the data to predicting the results)?
The openbabel is installed with the command sudo apt-get install openbabel
by default in ubuntu 18.04. And here are the steps:
protacs_example.csv
to protacs.csv
prepare_data.ipynb
root
values in case_study.ipynb
and run it.Thank you for your reply, I have reinstalled openbabel2.3.2 according to your suggestion, but I still cannot reproduce your result according to the above process. Could you please provide the intermediate files generated by running this case for comparison?
You can download from https://cowtransfer.com/s/60d7d34229e14f.
Thank you!
Great job! I want to try to use the three cases in the protacs folder for data preparation and prediction. I uses the protas_example.csv file as the 'protacs.csv' file. I set up a new data file using prepare_data.ipynb. But when I used case_study.ipynb and test.pb for predicting, I found that the prediction was the opposite of label([name],[predicted],[label]): ['1_BRD7_VHL'] [0] [1] ['1_BRD9_VHL'] [0] [1] ['2_BRD7_VHL'] [0] [1], Maybe I made a mistake in the process of preparing the data. I would like to ask how accurate is the model to predict these three structures?