SARITA: a large language model for generating the S1 subunit of the SARS-CoV-2 spike protein.

ABSTRACT:

Background

The COVID-19 pandemic has caused over 776 million infections and 7 million deaths globally between December 2019 and November 2024. Since the emergence of the original Wuhan strain, SARS-CoV-2 has evolved into multiple variants-including Alpha, Delta, and Omicron-primarily through mutations in the Spike glycoprotein. The S1 subunit, which binds the human angiotensin-converting enzyme 2 (ACE2) receptor, mutates frequently and plays a key role in infectivity and immune escape, while the more conserved S2 subunit mediates membrane fusion. Anticipating future mutations is essential for guiding vaccine design and therapeutic strategies. Generative Large Language Models (LLMs) have shown promise in protein sequence modeling due to their capacity to produce realistic and functi

SUBMITTER: Rancati S 

PROVIDER: S-EPMC12319310 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature