1. Interview with Patterns 2022: 3(12);100653. Integrating supercomputing and artificial intelligence for life science.
2. Yuan Q, Yuedong Yang*. Chapter 9: Sequence-Based Predictions of Residues that Bind Proteins and Peptides. Machine Learning in Bioinformatics of Protein Sequences 2023; 237-263
3. H. Zhao, G. Taherzadeh, Y. Zhou*, and Yuedong Yang*, “Computational prediction of carbohydrate-binding proteins and binding sites.”, in Current Protocols in Protein Science, edited by G. Taylor, Chapter 2, in press, Wiley, Hoboken, NJ, 2018.
4. Yuedong Yang*, R. Heffernan, K. Paliwal, J. Lyons, A. Dehzangi, A. Sharma, J. Wang, A. Sattar, and Y. Zhou*. SPIDER2: a package to predict secondary structure, accessible surface area, and main-chain torsional angles. Methods in Molecular Biology 2017; Predicting Protein Secondary Structure 1484:55-63.
5. Yuedong Yang, H. Zhao, J. Wang, and Y. Zhou. SPOT-Seq: Predicting protein-RNA complex structure and RNA-binding function by fold recognition and binding affinity prediction. Methods in Molecular Biology (Protein Structure Prediction). 119-130, 2014.

1. Bioinformatics: Small Molecule Generation via Disentangled Representation Learning Liang Zhao, Emory Univ
2. A systematic evaluation of deep learning methods for the prediction of drug synergy in cancer Portugase
3. A robust deep learning platform to predict CD8+ T-cell epitopes Hashem Koohy @U Oxford.

drugdesign