Computation-guided transcription factor biosensor specificity engineering for adipic acid detection

Pham, Chester; Stogios, Peter J.; Savchenko, Alexei; Mahadevan, Radhakrishnan

doi:10.1016/j.csbj.2024.05.002

Computational and Structural Biotechnology Journal

2024

DOI: 10.1016/j.csbj.2024.05.002

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Computation-guided transcription factor biosensor specificity engineering for adipic acid detection

Chester Pham,

Peter J. Stogios,

Alexei Savchenko

et al.

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Revolutionizing Molecular Design for Innovative Therapeutic Applications through Artificial Intelligence

Son,

Park,

Kim

et al. 2024

Molecules

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The field of computational protein engineering has been transformed by recent advancements in machine learning, artificial intelligence, and molecular modeling, enabling the design of proteins with unprecedented precision and functionality. Computational methods now play a crucial role in enhancing the stability, activity, and specificity of proteins for diverse applications in biotechnology and medicine. Techniques such as deep learning, reinforcement learning, and transfer learning have dramatically improved protein structure prediction, optimization of binding affinities, and enzyme design. These innovations have streamlined the process of protein engineering by allowing the rapid generation of targeted libraries, reducing experimental sampling, and enabling the rational design of proteins with tailored properties. Furthermore, the integration of computational approaches with high-throughput experimental techniques has facilitated the development of multifunctional proteins and novel therapeutics. However, challenges remain in bridging the gap between computational predictions and experimental validation and in addressing ethical concerns related to AI-driven protein design. This review provides a comprehensive overview of the current state and future directions of computational methods in protein engineering, emphasizing their transformative potential in creating next-generation biologics and advancing synthetic biology.

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Revolutionizing Molecular Design for Innovative Therapeutic Applications through Artificial Intelligence

Son,

Park,

Kim

et al. 2024

Molecules

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show abstract

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Computation-guided transcription factor biosensor specificity engineering for adipic acid detection

Cited by 1 publication

References 60 publications

Revolutionizing Molecular Design for Innovative Therapeutic Applications through Artificial Intelligence

Revolutionizing Molecular Design for Innovative Therapeutic Applications through Artificial Intelligence

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