Year: 2024
Type: article
Abstract: AlphaFold, the 2024 Nobel Prize-winning AI innovation, has redefined protein structure prediction, addressing a long-standing challenge in biology. By accurately modeling both structured and intrinsically disordered protein regions, AlphaFold provides unprecedented insights into protein functions and interactions. This review explores its transformative applications, including its role in elucidating the dynamics of p27Kip1, a key regulator of the cell cycle, and advancing the understanding of disordered regions critical for cellular signaling. AlphaFold’s impact extends beyond structural biology into practical applications. During the COVID-19 pandemic, its accurate predictions of the SARS-CoV-2 spike protein structure accelerated vaccine development, demonstrating its potential in addressing future pandemics. Despite these successes, challenges remain in integrating AlphaFold into drug discovery pipelines. Studies on Escherichia coli proteins revealed limitations in current docking models, emphasizing the need for improved computational tools. AlphaFold’s transformative contributions have established it as a foundation of molecular biology, with profound implications for accelerating drug discovery, advancing pandemic preparedness, and driving innovations in biodiversity and personalized medicine.
Source: Atomic Academia Journal
DOI: 10.62594/atom0007
Author: Giorgi Svanishvili
Institution: Tbilisi State Medical University
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: hybrid
OpenAlex ID: W4405877193