Semiconductor synthetic biology: a new pathway towards biocomputing

IF 4.2 3区工程技术 Q2 ENGINEERING, CHEMICAL

Frontiers of Chemical Science and Engineering Pub Date : 2026-09-01 DOI:10.1007/s11705-026-2697-8

Jiayu Li, Yue You, Yuxiang Qin, Xiuyun Liu, Kewei Liu, Jiaying Ji, Miao Yu, Xiang Ren

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Abstract

Semiconductor synthetic biology (SemiSynBio) is an emerging field with the aim of exploring distinctive advantages of biological system to tackle computational hard problems. SemiSynBio-Biocomputing solves computational problems using cells or tissue level bio-inspired system or devices. This new pathway explores the potential of biological computing systems and overcomes limits of traditional semiconductor technology, driven by the exponentially growing demand for high-performance, energy-efficient computing resource. This review provides a comprehensive overview of biocomputing at DNA/RNA-level and cell/tissue-level. SemiSynBio-Biocomputing builds an integrated system consisting with physiological processes, internal network interfaces and cross-talks among cells or tissues. The primary objective is to develop design methodologies to utilize cellular-scale networks and their natural communication capabilities and bypass the constrains of traditional algorithmic computation. The biological performance at cell/tissue-level offers a robust pathway to achieve self-organizing, self-repairing, resilient, distributed and adaptive biological computing systems, making it possible to construct a bio-computer with a variety of applications. Future directions focus on exploring the architecture for information processing and storage within biocomputing applications, particularly those with non-Von Neumann configurations. SemiSynBio opens up a new pathway towards biocomputing and is expected to address increasingly complex problems and applications, serving as a foundational platform for next generation bio-computers.

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半导体合成生物学：迈向生物计算的新途径

半导体合成生物学（SemiSynBio）是一个新兴领域，其目的是探索生物系统的独特优势来解决计算难题。SemiSynBio-Biocomputing使用细胞或组织级生物启发系统或设备解决计算问题。这一新途径探索了生物计算系统的潜力，克服了传统半导体技术的局限性，受到对高性能，节能计算资源的指数增长需求的驱动。本文综述了生物计算在DNA/ rna水平和细胞/组织水平的全面概述。SemiSynBio-Biocomputing构建了一个由生理过程、内部网络接口和细胞或组织间的相互作用组成的集成系统。主要目标是开发设计方法，以利用蜂窝规模网络及其自然通信能力，绕过传统算法计算的限制。细胞/组织水平的生物性能为实现自组织、自修复、弹性、分布式和自适应的生物计算系统提供了强有力的途径，使构建具有多种应用的生物计算机成为可能。未来的方向集中在探索生物计算应用中的信息处理和存储体系结构，特别是那些具有非冯·诺伊曼配置的应用。SemiSynBio为生物计算开辟了一条新的途径，有望解决日益复杂的问题和应用，作为下一代生物计算机的基础平台。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Frontiers of Chemical Science and Engineering ENGINEERING, CHEMICAL-

CiteScore

7.60

自引率

6.70%

发文量

868

审稿时长

1 months

期刊介绍： Frontiers of Chemical Science and Engineering presents the latest developments in chemical science and engineering, emphasizing emerging and multidisciplinary fields and international trends in research and development. The journal promotes communication and exchange between scientists all over the world. The contents include original reviews, research papers and short communications. Coverage includes catalysis and reaction engineering, clean energy, functional material, nanotechnology and nanoscience, biomaterials and biotechnology, particle technology and multiphase processing, separation science and technology, sustainable technologies and green processing.