Artificial Intelligence Models Accelerate Antibacterial Molecule Discovery
Bioengineer César de la Fuente and his team are leveraging artificial intelligence tools to combat drug-resistant microbes.
Deep learning models, ChatGPT, and Codex have begun to be used to discover new antimicrobial molecules against drug-resistant microbes.
Global Threat and Resistant Microbes
Bacterial antimicrobial resistance is associated with millions of deaths, continues to pose a global threat, and requires new solutions.
Viewing Biology as an Information System
The interdisciplinary laboratory led by César de la Fuente treats biology as an information system while searching for antimicrobial candidates.
AI's Contribution to Processes
Deep learning models scan genome and protein datasets, reducing the initial candidate search time from years to hours.
The Role of ChatGPT and Codex
Researchers receive support from artificial intelligence tools to generate hypotheses, write code, process datasets, and analyze results.
The Importance of Laboratory Tests
Basic laboratory experiments remain an indispensable part of the process for validating artificial intelligence predictions.