commit again

[kuku-tss]

@amva13 This PR is for submitting new entries to the TDC Drug combination leaderboard.

Please find the details below as per guidelines provided here

A. A link to the codes for training the model and running the benchmarks.
https://github.com/kuku-tss/IM-DTI-/tree/master

B. Instructions for replicating your results running these codes.
https://github.com/kuku-tss/IM-DTI-/tree/master/README.md

C. Description of the hardware used for training the model.
The model was trained on a high-performance system equipped with an NVIDIA RTX 3080 GPU, an Intel i9 processor, and 32 GB of RAM.

D. Link to paper to be included on the website
https://github.com/kuku-tss/IM-dti/blob/master/Integrated%20Model%20for%20Drug%E2%80%93Target%20Interaction%20Prediction%20Using%20Multiple%20Protein%20Language%20Embeddings.pdf

E. Paper authors and developers of the model.
Shasha Tao^1, Jin Liu^2, Xiaolin Ning^3, Xin Ma^4
1.School of Electronic Information, Wuhan University of Science and Technology, Wuhan, Hubei, China.
2.School of Electronic Information, Wuhan University of Science and Technology, Wuhan 430081, China, and also with the School of Instrument Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China .
3.School of Instrument Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China，and also with the Hefei National Laboratory, Hefei 230088, China.
4.School of Instrument Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China.

F. The dictionary string output of running the TDC benchmark group evaluations.
"IM-DTI" :
{'bindingdb_patent': [0.0, 0.0]}

Kindly review and merge this PR.