Article Versions Notes

Taki AC, Kapp L, Hall RS, Byrne JJ, Sleebs BE, Chang BCH, Gasser RB, Hofmann A. Prediction and Prioritisation of Novel Anthelmintic Candidates from Public Databases Using Deep Learning and Available Bioactivity Data Sets. International Journal of Molecular Sciences. 2025; 26(7):3134. https://doi.org/10.3390/ijms26073134

Taki, Aya C., Louis Kapp, Ross S. Hall, Joseph J. Byrne, Brad E. Sleebs, Bill C. H. Chang, Robin B. Gasser, and Andreas Hofmann. 2025. "Prediction and Prioritisation of Novel Anthelmintic Candidates from Public Databases Using Deep Learning and Available Bioactivity Data Sets" International Journal of Molecular Sciences 26, no. 7: 3134. https://doi.org/10.3390/ijms26073134

Taki, A. C., Kapp, L., Hall, R. S., Byrne, J. J., Sleebs, B. E., Chang, B. C. H., Gasser, R. B., & Hofmann, A. (2025). Prediction and Prioritisation of Novel Anthelmintic Candidates from Public Databases Using Deep Learning and Available Bioactivity Data Sets. International Journal of Molecular Sciences, 26(7), 3134. https://doi.org/10.3390/ijms26073134