Artificial intelligence alphafold model for molecular biology and drug discovery: a machine-learning-driven informatics investigation.

ABSTRACT: AlphaFold model has reshaped biological research. However, vast unstructured data in the entire AlphaFold field requires further analysis to fully understand the current research landscape and guide future exploration. Thus, this scientometric analysis aimed to identify critical research clusters, track emerging trends, and highlight underexplored areas in this field by utilizing machine-learning-driven informatics methods. Quantitative statistical analysis reveals that the AlphaFold field is enjoying an astonishing development trend (Annual Growth Rate = 180.13%) and global collaboration (International Co-authorship = 33.33%). Unsupervised clustering algorithm, time series tracking, and global impact assessment point out that Cluster 3 (Artificial Intelligence-Powered Advancements in Alph

SUBMITTER: Guo SB 

PROVIDER: S-EPMC11452995 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature