Next-generation antifungal peptide discovery: the synergy of artificial intelligence and omics technologies.
Saved in:
| Title: | Next-generation antifungal peptide discovery: the synergy of artificial intelligence and omics technologies. |
|---|---|
| Authors: | Seiad Ahmadnezhad R; Department of Mycology, Pasteur Institute of Iran, Tehran, 1316943551, Iran., Shams-Ghahfarokhi M; Department of Mycology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, 14115331, Iran., Jamzivar F; Department of Mycology, Pasteur Institute of Iran, Tehran, 1316943551, Iran., Eslamifar A; Department of Clinical Research, Pasteur Institute of Iran, Tehran, 1316943551, Iran., Sohrabi A; Department of Epidemiology and Biostatics, Research Centre for Emerging and Reemerging Infectious Diseases, Pasteur Institute of Iran, Tehran, 1316943551, Iran., Razzaghi-Abyaneh M; Department of Mycology, Pasteur Institute of Iran, Tehran, 1316943551, Iran. mrab442@pasteur.ac.ir. |
| Source: | World journal of microbiology & biotechnology [World J Microbiol Biotechnol] 2025 Nov 18; Vol. 41 (12), pp. 456. Date of Electronic Publication: 2025 Nov 18. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Springer Country of Publication: Germany NLM ID: 9012472 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-0972 (Electronic) Linking ISSN: 09593993 NLM ISO Abbreviation: World J Microbiol Biotechnol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1573-0972 |
|---|---|
| DOI: | 10.1007/s11274-025-04662-7 |
