Chang, Douglas H, Richardson, Joshua D, Lee, Myung-Ryul, Lynn, David M, Palecek, Sean P, and Van_Lehn, Reid C. Machine learning-driven discovery of highly selective antifungal peptides containing non-canonical β-amino acids. Retrieved from https://par.nsf.gov/biblio/10638133. Chemical Science 16.13 Web. doi:10.1039/D4SC06689H.

Chang, Douglas H, Richardson, Joshua D, Lee, Myung-Ryul, Lynn, David M, Palecek, Sean P, & Van_Lehn, Reid C. Machine learning-driven discovery of highly selective antifungal peptides containing non-canonical β-amino acids. Chemical Science, 16 (13). Retrieved from https://par.nsf.gov/biblio/10638133. https://doi.org/10.1039/D4SC06689H

Chang, Douglas H, Richardson, Joshua D, Lee, Myung-Ryul, Lynn, David M, Palecek, Sean P, and Van_Lehn, Reid C. "Machine learning-driven discovery of highly selective antifungal peptides containing non-canonical β-amino acids". Chemical Science 16 (13). Country unknown/Code not available: Royal Society of Chemistry. https://doi.org/10.1039/D4SC06689H. https://par.nsf.gov/biblio/10638133.

@article{osti_10638133,
place = {Country unknown/Code not available}, title = {Machine learning-driven discovery of highly selective antifungal peptides containing non-canonical β-amino acids}, url = {https://par.nsf.gov/biblio/10638133}, DOI = {10.1039/D4SC06689H}, abstractNote = {}, journal = {Chemical Science}, volume = {16}, number = {13}, publisher = {Royal Society of Chemistry}, author = {Chang, Douglas H and Richardson, Joshua D and Lee, Myung-Ryul and Lynn, David M and Palecek, Sean P and Van_Lehn, Reid C}, }