Directed Evolution of Near-Infrared Serotonin Nanosensors with Machine Learning-Based Screening

Directed Evolution of Near-Infrared Serotonin Nanosensors with Machine Learning-Based Screening

In this study, we employed a novel approach to improve the serotonin-responsive ssDNA-wrapped single-walled carbon nanotube (ssDNA-SWCNT) nanosensors, combining directed evolution and machine learning-based prediction. Our iterative optimization process is aimed at the sensitivity and selectivity of...

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Bibliographic Details
Main Authors: Seonghyeon An, Yeongjoo Suh, Payam Kelich, Dakyeon Lee, Lela Vukovic, Sanghwa Jeong
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Nanomaterials
Subjects:
directed evolution
carbon nanotube
serotonin
nanosensor
machine learning
fluorescence
Online Access:https://www.mdpi.com/2079-4991/14/3/247

Internet

https://www.mdpi.com/2079-4991/14/3/247

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