Nucleic acid-protein docking

        Nucleic acid-protein docking focuses on uncovering the interaction patterns between DNA or RNA and proteins, which is critical for research in gene regulation, transcriptional control, and genome editing.

        HDOCK: Utilizing a globally optimized docking algorithm based on energy scoring, HDOCK accurately predicts binding interfaces between nucleic acids and proteins, making it suitable for standard nucleic acid-protein docking analyses.

        RoseTTAFold NA: Leveraging deep learning models, RoseTTAFold NA directly predicts the optimal conformations of nucleic acid-protein complexes, significantly improving docking accuracy, especially for complex systems.

        By combining these two methods, we can efficiently predict nucleic acid-protein binding modes, aiding in the study of nucleic acid regulatory mechanisms and genomic functions.