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Autonomous Nucleic Acid and Protein Nanocomputing Agents Engineered to Operate in Living Cells. | LitMetric

AI Article Synopsis

  • Recent advancements in autonomous technology show promise for revolutionizing areas like nanomedicine by enabling efficient operation of biological therapies without human intervention.
  • Engineering biological nanocomputing agents from nucleic acids and proteins presents challenges, despite two decades of research demonstrating their logical behavior within living cells.
  • The paper discusses the programmability and synergy of nucleic acids and proteins, highlights their versatility in creating new functions, and addresses potential limitations in the field of nanocomputing.

Article Abstract

In recent years, the rapid development and employment of autonomous technology have been observed in many areas of human activity. Autonomous technology can readily adjust its function to environmental conditions and enable an efficient operation without human control. While applying the same concept to designing advanced biomolecular therapies would revolutionize nanomedicine, the design approaches to engineering biological nanocomputing agents for predefined operations within living cells remain a challenge. Autonomous nanocomputing agents made of nucleic acids and proteins are an appealing idea, and two decades of research has shown that the engineered agents act under real physical and biochemical constraints in a logical manner. Throughout all domains of life, nucleic acids and proteins perform a variety of vital functions, where the sequence-defined structures of these biopolymers either operate on their own or efficiently function together. This programmability and synergy inspire massive research efforts that utilize the versatility of nucleic and amino acids to encode functions and properties that otherwise do not exist in nature. This Perspective covers the key concepts used in the design and application of nanocomputing agents and discusses potential limitations and paths forward.

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Source
http://dx.doi.org/10.1021/acsnano.4c13663DOI Listing

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