Work

Virtual lab of artificial intelligence agents accelerating nanobody design against SARS-CoV-2 variants

Year: 2025

Type: article

Abstract: Artificial intelligence (AI)-driven research frameworks are reshaping the boundaries of biomedical discovery. The Virtual Lab exemplifies this transformation, assembling large language model (LLM) agents into coordinated scientific teams functioning as investigators, specialists, and critics. The system autonomously designed, scored, and refined nanobody candidates against emerging SARS-CoV-2 variants, and subsequently validated them experimentally. These findings demonstrate how AI can move beyond prediction and retrieval to serve as an active collaborator in hypothesis generation, experimental design, and translational application. As technology continues to advance, the convergence of artificial intelligence and quantum computing is expected to give rise to a new era of Quantum AI enabled biomedical research. This integration will accelerate discovery speed, enhance precision, and foster interdisciplinary collaboration, opening unprecedented opportunities for data-driven innovation in the life sciences.

Source: International Journal of Biological Sciences

DOI: 10.7150/ijbs.126093

Authors: Hakjin Kim, Taeho Kwon, Sun-Uk Kim, Seon-Kyu Kim

Institutions: Korea Research Institute of Bioscience and Biotechnology, Korea University of Science and Technology

Language: English

Topic: SARS-CoV-2 and COVID-19 Research

Subfield: Infectious Diseases

Field: Medicine

Domain: Health Sciences

Open Access status: gold

Estimated APC paid: $1,337