Revolutionizing biological computing through quorum sensing and spatial diffusion
LOGIC (Lasting Optimized Genetic Input Calculator) addresses the fundamental challenges in biological computing by developing a novel approach to constructing biocomputers.
Traditional engineered bacterial circuits for logic gates have suffered from excessive complexity, cumbersome operation, and reliance on multiple input substances. Our LOGIC project overcomes these limitations by utilizing quorum sensing and spatial diffusion to form efficient logic gates.
Novel quorum sensing approach to biological computing
Simplified operation with reduced complexity
Reusable and refreshable computing systems
Logic gate circuit design and QS system optimization
High-pass and band-pass genetic circuits
Functional validation and performance testing
Toolkit development and visualization software
Leveraging the diffusion properties of QS molecules to construct highly efficient and reusable logic gate systems, enabling complex biological computations.
Engineering photo-induced QS molecule degradation enzymes through prediction, simulation, and domain addition to enable calculator refresh functionality.
Building biological storage systems for long-term preservation of computational results
Developing decimal result display systems for enhanced user-friendliness
Creating visualization software toolkit to support future research endeavors
We are a diverse team from Wuhan University, dedicated to advancing synthetic biology and biological computing research. Our interdisciplinary team brings together students from various backgrounds to collaborate on this innovative project.
Successfully constructed and tested quorum sensing-based logic gates in bacterial systems, demonstrating reliable binary computation capabilities.
Achieved significant improvements in computational efficiency and accuracy compared to traditional bacterial computing methods.
QS Systems: LuxI/LuxR, LasI/LasR
Promoters: Inducible, constitutive
Reporters: GFP, RFP, YFP
AND Gate: Dual input detection
OR Gate: Alternative activation
NOT Gate: Repressor-based
Wavelength: 450-550nm
Intensity: 10-100 mW/cm²
Response Time: <5 minutes
Our LOGIC system represents a paradigm shift in biological computing, combining the elegance of quorum sensing with the precision of spatial diffusion to create a new generation of biocomputers.
Our research methodology follows a systematic approach combining computational modeling, genetic engineering, and experimental validation.
Comprehensive data analysis techniques ensure reliable and reproducible results across all experimental conditions.
CRISPR-Cas9, Gibson Assembly, Golden Gate cloning
Python, MATLAB, COMSOL, BioCAD
Flow cytometry, Fluorescence microscopy, qPCR
Lab automation, High-throughput screening
Discover the detailed science behind our LOGIC project