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A Method for Selecting Structure-switching Aptamers Applied to a Colorimetric Gold Nanoparticle Assay

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Published on: February 28, 2015

A Sequential Multidimensional Analysis Algorithm for Aptamer Identification based on Structure Analysis and Machine

Jia Song¹, Yuan Zheng¹, Mengjiao Huang²

¹Institute of Molecular Medicine, Renji Hospital, School of Medicine , Shanghai Jiao Tong University , Shanghai 200127 , China.

Analytical Chemistry

|December 27, 2019

Summary

This summary is machine-generated.

We developed a new algorithm, SMART-Aptamer, to efficiently discover high-affinity nucleic acid aptamers from sequencing data. This method improves accuracy and reduces errors in identifying molecular recognition ligands for biomedical applications.

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Area of Science:

Biochemistry
Bioinformatics
Molecular Biology

Background:

Developing novel molecular recognition ligands is crucial for various scientific fields.
Current methods for discovering these ligands need expansion for greater accuracy and efficiency.

Purpose of the Study:

To introduce a novel algorithm, SMART-Aptamer, for efficient and accurate aptamer discovery.
To validate the efficacy of SMART-Aptamer using high-throughput sequencing data from SELEX libraries.

Main Methods:

Developed the Sequential Multidimensional Analysis algoRiThm for aptamer discovery (SMART-Aptamer).
Utilized multilevel structure analysis and unsupervised machine learning on SELEX library high-throughput sequencing data.
Validated the algorithm with screening data against human embryonic stem cells (hESCs), EpCAM, and CSV.

Main Results:

Successfully identified high-affinity aptamers for all three tested targets (hESCs, EpCAM, CSV).
SMART-Aptamer demonstrated high accuracy with low false positive and negative rates.
The algorithm proved effective in discovering nucleic acid recognition ligands.

Conclusions:

SMART-Aptamer offers a paradigm-shift in ligand discovery for biomedical applications.
The algorithm's accuracy, efficiency, and robustness make it a valuable tool.
This strategy significantly advances the development of binding ligands.