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- Green Carbon Capture via AI-assisted Chloroplast DNA Editing
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Green Carbon Capture via AI-assisted Chloroplast DNA Editing
KEYWORDKeyword
OBJECTIVE Objective
Establish AI-assisted chloroplast genome editing platform to develop plant resources with improved photosynthetic efficiency,
and leverage these resources to contribute to carbon reduction and enhanced agricultural productivity.
INTRODUCTION Director's Message
By leveraging Protein Language Models (PLMs) and chloroplast genome editing technologies,
we can redesign key photosynthetic proteins such as Rubisco and D1, dramatically enhancing
the photosynthetic efficiency of trees, crops, and algae.
These advances have the potential to contribute significantly to carbon reduction and increased
food production, addressing the world's most pressing challenges.
We warmly invite molecular biologists who share a passion for transforming the world through science to join us,
regardless of their specific area of expertise.
IMPACT Impact
This research will enable transformative advances in carbon reduction and
food production by enhancing photosynthetic efficiency
through AI-driven chloroplast engineering.
TALENT Ideal Talent
Young molecular biologists with the ambition to change the world. No prior background in plant science is required.