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Chemical Science · 2015 ·Vol. 7 ·期 3 ·1853-1861 · IF 9.211

A RET-supported logic gate combinatorial library to enable modeling and implementation of intelligent logic functions

Ru-Ru Gao,Shuo Shi,Ying Zhu,Hai-Liang Huang,Tian-Ming Yao

Boolean logic gates integrate multiple digital inputs into a digital output. Among these, logic gates based on nucleic acids have attracted a great deal of attention due to the prospect of controlling living systems in the way we control electronic computers. Herein, by employing Thioflavin T (ThT) as a signal transducer, we integrated multiple components based on RET (a type of proto-oncogene) into a logic gate combinatorial library, including basic logic gates (NOR, INHIBIT, IMPLICATION), a single three-input NOR gate, and combinatorial gates (INHIBIT–OR, NOT–AND–NOR). In this library, gates were connected in series where the output of the previous gate was the input for the next gate. Subsequently, by taking advantage of the library, some intelligent logic functions were realized. Expectedly, a biocomputing keypad-lock security system was designed by sequential logic operations. Moreover, a parity checker which can identify even numbers and odd numbers from natural numbers was established successfully. This work helps elucidate the design rules by which simple logic can be harnessed to produce diverse and complex calculations by rewiring communication between different gates. Together, our system may serve as a promising proof of principle that demonstrates increased computational complexity by linking multiple logic gates together.

研究领域: 合成生物学 · 分子生物学
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ACS Nano · 2024 · IF 15.8

A Universal Method for Fingerprinting Multiplexed Bacteria: Evolving Pruned Sensor Arrays via Machine Learning-Driven Combinatorial Group-Specificity Strategy

Shuming Zhang,Callum Stewart,Xu Gao,Huihai Li,Xinyue Zhang,Weiwei Ni,Fengqing Hu,Yongbin Kuang,Yanliang Zhang,Hui Huang,Fei Li,Jinsong Han

Array-based sensing technology holds immense potential for discerning the intricacies of biological systems. Nevertheless, developing a universal strategy for simultaneous identification of diverse types of multianalytes and meeting the diagnostic needs of a range of multiclassified clinical diseases poses substantial challenges. Herein, we introduce a combination method for constructing sensor arrays by assembling two types of group-specific elements. Such a method enables the rapid generation of a library of 100 sensing units, each with dual bacterial targeting capabilities. By employing a three-step screening strategy optimized by machine learning algorithms, various optimal five-element arrays were rapidly obtained for diverse clinical infectious models. Moreover, the pruned arrays successfully identified disparate mixing ratios and quantitative detection of clinically prevalent bacterial strains. Optimized through nine multiclassification algorithms, the top-performing multilayer perceptron (MLP) model demonstrated impressive recognition capabilities, achieving 100% accuracy for diagnosing clinical urinary tract infection (UTI) and 99.4% accuracy for clinical sepsis detection in the test models we collected. Such a combinatorial library construction and screening process should be standard and provides insights into successfully generating powerful high-recognition sensor elements and configuring them into highly discriminative mini-sensor arrays.

CAS / MDL: 1405-20-5
研究领域: 生物技术 · 医学诊断 · 人工智能应用
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Nanoscale · 2020 ·Vol. 12 ·期 37 ·19149-19158 · IF 6.895

Hepatoprotective Angelica sinensis silver nanoformulation against multidrug resistant bacteria and the integration of a multicomponent logic gate system

Jouharsha Afthab,Nafeesa Khatoon,Lulu Zhou,Tianming Yao,Shuo Shi

The rampant usage of antibiotics has led to the emergence of toxicity, especially hepatotoxicity and the emergence of microbial drug resistance. Hence, a series of novel hepatoprotective, biocompatible, antibacterial silver nanoformulations (AS-AgNPs) were developed by using the important Chinese medicinal plant Angelica sinensis. The different size of AS-AgNPs were characterized by UV-Visible spectroscopy, transmission electron microscopy (TEM), scanning electron microscopy (SEM), X-ray diffraction (XRD) and Fourier transform infrared spectroscopy (FT-IR). The size-dependent antibacterial properties of AS-AgNPs were investigated against Gram-positive, Gram-negative and multi-drug resistant bacteria. The minimum inhibitory concentration (MIC) of AS-AgNPs with different size against six bacteria was found to be in the range of 5–100 μg mL−1 with no resistance till 12 cycles. TEM and SEM results of bacteria after the treatment suggested that AS-AgNPs disrupted the cell membrane by creating pores. The cytocompatibility and cytoprotective effect of AS-AgNPs were evaluated against HepG2 cell lines, which showed that 85% of cells were viable up to 100 μg mL−1 of the concentration with almost no change in AST and ALT levels. Further, a logic combinatorial library, including basic logic gates (AND, OR, NOR, INHIBIT, IMPLICATION, and YES), three input logic gates (OR, and NOR) and combinatorial gates (INH-OR, INH-YES, INH-INH, AND-NOR, and NOT-AND-NOR) were designed by integrating multi-components based on the interaction between AS-AgNP1 and bacteria, where DiSC3(5) was used as the signal reporter. This system clearly demonstrates the ability of simple logic circuits to perform sophisticated analysis for the detection of multiple bacteria.

CAS / MDL: 64-17-5 7761-88-8
研究领域: 药学 · 纳米技术 · 生物医学工程 · 微生物学 · 分子生物学
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