AI interprets the Central Dogma and Genetic Code

Alexander M Ille; Michael B Mathews

doi:10.1016/j.tibs.2023.09.004

AI interprets the Central Dogma and Genetic Code

Trends Biochem Sci. 2023 Dec;48(12):1014-1018. doi: 10.1016/j.tibs.2023.09.004. Epub 2023 Oct 11.

Authors

Alexander M Ille¹, Michael B Mathews²

Affiliations

¹ School of Graduate Studies, Rutgers University, Newark, NJ, USA. Electronic address: mai86@gsbs.rutgers.edu.
² School of Graduate Studies, Rutgers University, Newark, NJ, USA; Department of Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA. Electronic address: mathews@njms.rutgers.edu.

PMID: 37833131
DOI: 10.1016/j.tibs.2023.09.004

Abstract

Generative artificial intelligence (AI) is a burgeoning field with widespread applications, including in science. Here, we explore two paradigms that provide insight into the capabilities and limitations of Chat Generative Pre-trained Transformer (ChatGPT): its ability to (i) define a core biological concept (the Central Dogma of molecular biology); and (ii) interpret the genetic code.

Keywords: Central Dogma; ChatGPT; Sequence Hypothesis; artificial intelligence; large language models; natural language processing.

MeSH terms

Artificial Intelligence*
Genetic Code*
Molecular Biology