Prediction of aptamer affinity using an artificial intelligence approach-Reference-Cited by-同舟云学术

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Prediction of aptamer affinity using an artificial intelligence approach

Published:2024 Issue: Volume: Page:
ISSN:2050-750X
Container-title:Journal of Materials Chemistry B
language:en
Short-container-title:J. Mater. Chem. B

Author:

Fallah Arezoo¹,Havaei Seyed Asghar²,Sedighian Hamid³^ORCID,Kachuei Reza⁴,Fooladi Abbas Ali Imani³^ORCID

Affiliation:

1. Department of Bacteriology and Virology, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran

2. Department of Microbiology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran

3. Applied Microbiology Research Center, Biomedicine Technologies Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran

4. Molecular Biology Research Center, Biomedicine Technologies Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran

Abstract

Aptamers are oligonucleotide sequences that can connect to particular target molecules, similar to monoclonal antibodies.

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/TB/D4TB00909F

Reference171 articles.

1. Recent Progress in Aptamer Discoveries and Modifications for Therapeutic Applications

2. Detection of Staphylococcal Enterotoxin A (SEA) using a sensitive nanomaterial-based electrochemical aptasensor

3. An electrochemical aptasensor for staphylococcal enterotoxin B detection based on reduced graphene oxide and gold nano-urchins

4. Development of DNA aptamers using Cell-SELEX

5. Nucleic Acid Aptamers Against Proteases

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