Advanced Research in Prediction of Protein Structure and Function: 2nd Edition

Dear Colleagues,

As the Holy Grail of biophysics, predicting the protein structure of primary peptide sequences has received widespread research attention. Deep learning approaches, especially Alpha Fold, have dramatically advanced this field of research. These approaches take the multiple sequence alignment (MSA) of amino acid sequences as input and detect the co-evolved residues, or infer contact maps, to predict 3D structures. Some recent approaches also claim that they can predict 3D structures without the MSA. Many downstream tasks, such as protein function prediction, protein complex prediction, and drug design, become possible once accurately predicted 3D structures are acquired.

This Special Issue focuses on the most recent advances in the prediction of protein structure and protein function, as well as developments in the downstream applications that rely on these predictions.

Dr. Shuai Cheng Li
Guest Editor

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• prediction
• protein structure
• protein function
• protein complex
• machine learning
• deep learning
• multiple sequence alignment

• Advanced Research in Prediction of Protein Structure and Function in International Journal of Molecular Sciences (8 articles)