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Nucleic acid-protein dockingNucleic acid-protein docking
Nucleic acid-protein docking
Release Date：2024-12-25
Publisher： Hefei Kejing
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.
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