Ullah, F.; Xiao, A.; Ullah, S.; Yang, N.; Lei, M.; Chen, L.; Wang, S.
Synergizing Attribute-Guided Latent Space Exploration (AGLSE) with Classical Molecular Simulations to Design Potent Pep-Magnet Peptide Inhibitors to Abrogate SARS-CoV-2 Host Cell Entry. Viruses 2025, 17, 828.
https://doi.org/10.3390/v17060828
AMA Style
Ullah F, Xiao A, Ullah S, Yang N, Lei M, Chen L, Wang S.
Synergizing Attribute-Guided Latent Space Exploration (AGLSE) with Classical Molecular Simulations to Design Potent Pep-Magnet Peptide Inhibitors to Abrogate SARS-CoV-2 Host Cell Entry. Viruses. 2025; 17(6):828.
https://doi.org/10.3390/v17060828
Chicago/Turabian Style
Ullah, Farhan, Aobo Xiao, Shahid Ullah, Na Yang, Min Lei, Liang Chen, and Sheng Wang.
2025. "Synergizing Attribute-Guided Latent Space Exploration (AGLSE) with Classical Molecular Simulations to Design Potent Pep-Magnet Peptide Inhibitors to Abrogate SARS-CoV-2 Host Cell Entry" Viruses 17, no. 6: 828.
https://doi.org/10.3390/v17060828
APA Style
Ullah, F., Xiao, A., Ullah, S., Yang, N., Lei, M., Chen, L., & Wang, S.
(2025). Synergizing Attribute-Guided Latent Space Exploration (AGLSE) with Classical Molecular Simulations to Design Potent Pep-Magnet Peptide Inhibitors to Abrogate SARS-CoV-2 Host Cell Entry. Viruses, 17(6), 828.
https://doi.org/10.3390/v17060828
