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# PSSM-Distil The paper "PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-QualityPSSM by Knowledge Distillation with Contrastive Learning" of AAAI21 Conference > Requirement > > pip install torch pip install glob pip install tqdm pip install numpy > Instructions python inference_real.py Aboving command will predict secondary structure for a sequence in 'sequences' folder with a pssm in 'low_pssm' folder and print the accuracy. python inference_our.py Aboving command will predict secondary structure of sequence in 'sequences' folder with enhanced pssm which refined by PSSM-Distil and print the accuracy. Besides, this command will save an enhanced pssm file in 'enhanced_pssms' folder. python sample_msa_from_pssm.py ./enhanced_pssms/4ynhA.npy Aboving command will sample 2000 MSAs from enhanced PSSM and save in a3ms folder as '4ynhA_enhanced_pssms.a3m'. > Visualization Please upload original low-quality .a3m file and the enhanced one in 'a3ms' folder to the website: https://weblogo.berkeley.edu/logo.cgi respectively. Then you will see such comparison images. <img src="https://code.ihub.org.cn/projects/31533/repository/revisions/master/entry/./img/file5ca7md.png" width="500px" alt='low real PSSM'/> <img src="https://code.ihub.org.cn/projects/31533/repository/revisions/master/entry/./img/filelXoHzj.png" width="500px" alt='enhanced PSSM'/> > BC40 dataset https://drive.google.com/drive/folders/15vwRo_OjAkhhwfjDk6-YoKGf4JzZXIMC?usp=sharing The dataset we released to examine the performance of PSSM-Distil
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