Approaches for accelerating microbial gene function discovery using artificial intelligence
Approaches for accelerating microbial gene function discovery using artificial intelligence
https://www.nature.com/articles/s41564-025-02214-1
Publish Date: 2026-01-07 06:25:00
Source Domain: www.nature.com
- Minimal Bacterial Genome Design: The article by Hutchison et al. discusses the design and synthesis of a minimal bacterial genome.
- Protein Structure Prediction: Papers by Baek, Jumper, and Krisna highlight advancements in protein structure prediction using neural networks.
- Protein Interaction Screening: Lim et al. used in silico screening to uncover DONSON’s role in replication initiation, emphasizing methods for studying protein interactions.
- Transcription Factors in Escherichia coli: Multiple articles detail methods and findings related to transcription factors in E. coli, such as ChIP-exo techniques and their applications.
- Gene Function Prediction: Various papers, including those by Kim, Kato et al., and Han et al., focus on predicting protein functions using deep learning and other computational methods.
- Structure Prediction Tools: The development and applications of tools like AlphaFold and ProGen2 for protein structure prediction are reviewed.
- Advances in Bioinformatics: Publications such as Abedin et al., and Pojulai et al., showcase improvements in bioinformatics techniques for enzyme function prediction and metabolic pathway analysis.
