Leveraging large language models for peptide antibiotic design.

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Title: Leveraging large language models for peptide antibiotic design.
Authors: Guan C; Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA.; Department of Chemistry, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA.; Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA, USA.; These authors contributed equally., Fernandes FC; Centro de Análises Proteômicas e Bioquímicas, Pós-Graduação em Ciências Genômicas e Biotecnologia, Universidade Católica de Brasília, Brasília, Brazil.; Departamento de Ciência da Computação, Instituto Federal de Brasília, Campus Taguatinga, Brasília, Brazil.; These authors contributed equally., Franco OL; Centro de Análises Proteômicas e Bioquímicas, Pós-Graduação em Ciências Genômicas e Biotecnologia, Universidade Católica de Brasília, Brasília, Brazil.; S-Inova Biotech, Programa de Pós-Graduação em Biotecnologia, Universidade Católica Dom Bosco, Campo Grande, Brazil., de la Fuente-Nunez C; Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA.; Department of Chemistry, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA.; Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA, USA.
Source: Cell reports. Physical science [Cell Rep Phys Sci] 2025 Jan 15; Vol. 6 (1). Date of Electronic Publication: 2024 Dec 31.
Publication Type: Journal Article
Journal Info: Publisher: Cell Press Country of Publication: United States NLM ID: 101769239 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2666-3864 (Electronic) Linking ISSN: 26663864 NLM ISO Abbreviation: Cell Rep Phys Sci Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2666-3864
DOI:10.1016/j.xcrp.2024.102359