Cesar de la Fuente-Nunez, Ph.D.
Affiliations: | Bioengineering, Microbiology, Psychiatry | University of Pennsylvania, Philadelphia, PA, United States |
Area:
Peptide design and engineering, synthetic biology, microbiology, computational biologyWebsite:
https://delafuentelab.seas.upenn.edu/Google:
"Cesar de la Fuente-Nunez"Parents
Sign in to add mentor| Robert E. W. Hancock | grad student | 2009-2014 | UBC |
| Timothy K. Lu | post-doc | 2015-2018 | MIT (Chemistry Tree) |
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Publications
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| Boaro A, Ageitos L, Torres MT, et al. (2024) Structure-function-guided design of synthetic peptides with anti-infective activity derived from wasp venom. Cell Reports. Physical Science. 4 |
| Nazarian-Firouzabadi F, Torres MT, de la Fuente-Nunez C. (2023) Recombinant production of antimicrobial peptides in plants. Biotechnology Advances. 108296 |
| de la Fuente-Nunez C, Cesaro A, Hancock REW. (2023) Antibiotic failure: Beyond antimicrobial resistance. Drug Resistance Updates : Reviews and Commentaries in Antimicrobial and Anticancer Chemotherapy. 71: 101012 |
| Chiloeches A, Zágora J, Plachá D, et al. (2023) Synergistic Combination of Antimicrobial Peptides and Cationic Polyitaconates in Multifunctional PLA Fibers. Acs Applied Bio Materials |
| Pedron CN, Torres MT, Oliveira CS, et al. (2023) Molecular hybridization strategy for tuning bioactive peptide function. Communications Biology. 6: 1067 |
| Torres MDT, Brooks E, Cesaro A, et al. (2023) Human gut metagenomic mining reveals an untapped source of peptide antibiotics. Biorxiv : the Preprint Server For Biology |
| Aguilera-Puga MDC, Cancelarich NL, Marani MM, et al. (2023) Accelerating the Discovery and Design of Antimicrobial Peptides with Artificial Intelligence. Methods in Molecular Biology (Clifton, N.J.). 2714: 329-352 |
| Maasch JRMA, Torres MDT, Melo MCR, et al. (2023) Molecular de-extinction of ancient antimicrobial peptides enabled by machine learning. Cell Host & Microbe. 31: 1260-1274.e6 |
| Wong F, de la Fuente-Nunez C, Collins JJ. (2023) Leveraging artificial intelligence in the fight against infectious diseases. Science (New York, N.Y.). 381: 164-170 |
| Wan F, de la Fuente-Nunez C. (2023) Mining for antimicrobial peptides in sequence space. Nature Biomedical Engineering |