Advances in Computational Intelligence-Based Methods of Structure and Function Prediction of Proteins.

This editorial titled "Advances in Computational Intelligence-Based Methods of Structure and Function Prediction of Proteins" explores the significance of proteins in cellular processes and the role of protein sequence in determining protein structure. It discusses the use of computational intelligence-based models and approaches in predicting protein structures, including template-based modeling, ab initio modeling, and AI-aided methods. The document also provides a list of representative predictors for each category. Additionally, it presents research articles on various topics related to protein folding, secondary structure prediction, and protein function prediction. The document is a summary of a special issue of Biomolecules, which includes research articles and reviews on various topics related to protein folding, secondary structure prediction, HtrA protease family, SARS-CoV-2 spike variant complexes, heme distortion, Trp305, enzyme substrate promiscuity, and hepatitis C virus genome. The authors disclose their contributions and funding sources and declare no conflicts of interest. The article includes references to other relevant research articles and resources. It is important to note that MDPI and/or the editor(s) are not responsible for any harm caused by the ideas, methods, instructions, or products mentioned in the content, emphasizing the need for caution and further investigation when considering the information presented. [Extracted from the article]