Jung, Y.; Geng, C.; Bonvin, A.M.J.J.; Xue, L.C.; Honavar, V.G.
MetaScore: A Novel Machine-Learning-Based Approach to Improve Traditional Scoring Functions for Scoring Protein–Protein Docking Conformations. Biomolecules 2023, 13, 121.
https://doi.org/10.3390/biom13010121
AMA Style
Jung Y, Geng C, Bonvin AMJJ, Xue LC, Honavar VG.
MetaScore: A Novel Machine-Learning-Based Approach to Improve Traditional Scoring Functions for Scoring Protein–Protein Docking Conformations. Biomolecules. 2023; 13(1):121.
https://doi.org/10.3390/biom13010121
Chicago/Turabian Style
Jung, Yong, Cunliang Geng, Alexandre M. J. J. Bonvin, Li C. Xue, and Vasant G. Honavar.
2023. "MetaScore: A Novel Machine-Learning-Based Approach to Improve Traditional Scoring Functions for Scoring Protein–Protein Docking Conformations" Biomolecules 13, no. 1: 121.
https://doi.org/10.3390/biom13010121
APA Style
Jung, Y., Geng, C., Bonvin, A. M. J. J., Xue, L. C., & Honavar, V. G.
(2023). MetaScore: A Novel Machine-Learning-Based Approach to Improve Traditional Scoring Functions for Scoring Protein–Protein Docking Conformations. Biomolecules, 13(1), 121.
https://doi.org/10.3390/biom13010121