Work

Predicting transcriptional regulators in plants in the era of artificial intelligence

Year: 2026

Type: review

Source: Current Opinion in Plant Biology

DOI: 10.1016/j.pbi.2026.102955

Authors: Dae Kwan Ko, Federica Brandizzi

Institutions: Great Lakes Bioenergy Research Center, Michigan State University

Language: English

Topic: Plant Molecular Biology Research

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

Open Access status: green

Funders: U.S. Department of Energy, AgBioResearch, Michigan State University, National Institutes of Health, Great Lakes Bioenergy Research Center, National Institute of General Medical Sciences, Biological and Environmental Research

Awards: INTERDISCIPLINARY RESEARCH AND RELATED TRAINING PROGRAM IN THE PLANT SCIENCES, G291281389, Unfolded protein response in the model species Arabidopsis thaliana, G455569901

OpenAlex ID: W7204247121

FWCI:

Cites: 58

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Related to: 10