Wang, L.; He, X.; Ji, B.; Han, F.; Niu, T.; Cai, L.; Zhai, J.; Hao, D.; Wang, J.
Geometry Optimization Algorithms in Conjunction with the Machine Learning Potential ANI-2x Facilitate the Structure-Based Virtual Screening and Binding Mode Prediction. Biomolecules 2024, 14, 648.
https://doi.org/10.3390/biom14060648
AMA Style
Wang L, He X, Ji B, Han F, Niu T, Cai L, Zhai J, Hao D, Wang J.
Geometry Optimization Algorithms in Conjunction with the Machine Learning Potential ANI-2x Facilitate the Structure-Based Virtual Screening and Binding Mode Prediction. Biomolecules. 2024; 14(6):648.
https://doi.org/10.3390/biom14060648
Chicago/Turabian Style
Wang, Luxuan, Xibing He, Beihong Ji, Fengyang Han, Taoyu Niu, Lianjin Cai, Jingchen Zhai, Dongxiao Hao, and Junmei Wang.
2024. "Geometry Optimization Algorithms in Conjunction with the Machine Learning Potential ANI-2x Facilitate the Structure-Based Virtual Screening and Binding Mode Prediction" Biomolecules 14, no. 6: 648.
https://doi.org/10.3390/biom14060648
APA Style
Wang, L., He, X., Ji, B., Han, F., Niu, T., Cai, L., Zhai, J., Hao, D., & Wang, J.
(2024). Geometry Optimization Algorithms in Conjunction with the Machine Learning Potential ANI-2x Facilitate the Structure-Based Virtual Screening and Binding Mode Prediction. Biomolecules, 14(6), 648.
https://doi.org/10.3390/biom14060648
