AIMC Journal:
aBIOTECH

Showing 1 to 4 of 4 articles

Decoding enzymatic landscapes: a knowledge graph-enhanced large language model framework for microbial enzyme production and catalysis systems.

aBIOTECH
Microbial enzyme production and catalysis systems are crucial aspect of biotechnological research. However, building them from trustworthy published experimental data presents a major obstacle for both manual and automated techniques. Here, we introd...

Transgene-free genome editing in plants.

aBIOTECH
Genome-editing tools for the precise, efficient modification of DNA have led to groundbreaking advances in crop improvement and basic plant science research. However, conventional genome editing may result in the integration of unintended gene fragme...

AI-designed OpenCRISPR-1 enables efficient targeted mutagenesis and prime editing in rice.

aBIOTECH
Recent advances in generative artificial intelligence (AI) have enabled the de novo design of genome-editing nucleases. For example, OpenCRISPR-1 offers an open-source alternative to naturally evolved CRISPR systems and expands the "freedom to operat...

Hyperspectral phenotyping reveals the genetic basis of grain quality in rice.

aBIOTECH
Rice (Oryza sativa) grain quality is an important breeding target, yet its genetic basis remains incompletely understood. In this study, we integrated hyperspectral phenotyping with genome-wide association study (GWAS) to investigate apparent amylose...