search

Shen-Lab / DeepAffinity

Protein-compound affinity prediction through unified RNN-CNN
GNU General Public License v3.0
137 stars 30 forks source link

Why should the number of SAP representation protein sequence file lines and the number of Canonical compound SMILE file lines match? #9

Open CallMeDek opened 2 years ago

CallMeDek commented 2 years ago

Hi,

I am trying to get results of my own data with your model.

(1) According to the file "DeepAffinity_inference.sh", it seems that the number of lines for input protein sequences file and compound file must matches like below. 스크린샷, 2022-09-22 10-46-42 Is it mean that the number of each entity in both files have to be matched or literally the the number of lines of both files have to be matched?

(2) I got two files for my own data after following your manual. Could you tell me if their entities' structure are correct for model input?

Thank you, CallMeDek

Shen-Lab commented 2 years ago

The number of the protein sequences and that of compound files are asked to be equal because we are predicting given pairs of proteins and compounds. So the k-th row of the protein file is paired to the k-th row of the compound file. If you are interested in cross prediction for all combinations of given proteins and given compounds, you can write a simple script to prepare the two files (with repeats) without having to change our scripts. Otherwise you can change the script through the for loop (use nested for loops instead).

I am not sure what exactly you are asking in the second question. Please kindly detail your question and could @AstroSign please follow up if possible?

AstroSign commented 2 years ago

For the second question, your data looks good to me. Let me know if you encountered further issues.

On Sep 23, 2022, at 8:49 AM, Shen Lab at Texas A&M University @.***> wrote:

The numbers of the protein sequences and that of compound files are asked to be equal because we are predicting given pairs of proteins and compounds. So the k-th row of the protein file is paired to the k-th row of the compound file. If you are interested in cross prediction for all combinations of given proteins and given compounds, you can write a simple script to prepare the two files (with repeats) without having to change our scripts. Otherwise you can change the script through the for loop (use nested for loops instead).

I am not sure what exactly you are asking in the second question. Please kindly detail your question and could @AstroSign https://github.com/AstroSign please follow up if possible?

— Reply to this email directly, view it on GitHub https://github.com/Shen-Lab/DeepAffinity/issues/9#issuecomment-1256168887, or unsubscribe https://github.com/notifications/unsubscribe-auth/AFM5XI5EALQ4J45ZHC55PGLV7WRMZANCNFSM6AAAAAAQSTWOPA. You are receiving this because you were mentioned.