Work

Cross-molecular active learning for the discovery of antimicrobial polyacrylamides

Year: 2026

Type: article

Source: Matter

DOI: 10.1016/j.matt.2026.103026

Authors: Shoshana C. Williams, Anna Makar-Limanov, Gabriel Greenstein, Xinyu Liu, Alessio Fragasso, Priya Ganesh, Noah Eckman, Alexander N. Prossnitz, Changxin Dong, Christine Jacobs-Wagner, Lynette Cegelski, Hector Lopez Hernandez, Eric A. Appel

Institutions: Stanford University, Howard Hughes Medical Institute, Stanford Medicine

Language: English

Topic: Antimicrobial agents and applications

Subfield: Organic Chemistry

Field: Chemistry

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Science Foundation, Howard Hughes Medical Institute, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, National Institutes of Health, Stanford Bio-X, Chemistry, Engineering and Medicine for Human Health, Stanford University, National Institute of General Medical Sciences, Division of Electrical, Communications and Cyber Systems, Office of Research Infrastructure Programs, National Institutes of Health

Awards: NNCI: nano@stanford, 500 MHz NMR Spectrometer System with High Sensitivity Cryoprobe and Automated Sample Changer for Biochemical Research, G4089419421, G5442025106, G8065195062, G9000370881, Decoding cell surface chemistry and function in Staphylococcus aureus

OpenAlex ID: W7213915744

FWCI:

Cites: 66

Cited by:

Related to: 10