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# By given protein sequences in fasta format, you can run command > run_local.sh *.seq to obtain predicted secondary structure, ASA, backbone torsion angles. ## If you already have pssm files for your proteins. > run_pssm.py *.pssm The output will be seen in *.spd3 Reference: 1. R. Heffernan, K. Paliwal, J. Lyons, A. Dehzangi, A. Sharma, J. Wang, A. Sattar, Yuedong Yang* and Y. Zhou*. Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning. Scientific Reports 2015; 5:11476 2. R. Heffernan, K. Paliwal, J. Lyons, A. Dehzangi, A. Sharma, J. Wang, A. Sattar, Y. Zhou* and Yuedong Yang*. Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins. Bioinformatics 2016; 32(6):843-9. If you have any questions, please email to firstname.lastname@example.org