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Aptamer-functionalized MOFs and AI-driven strategies for early cancer diagnosis and therapeutics

Metal–Organic Frameworks (MOFs) have exceptional inherent properties that make them highly suitable for diverse applications, such as catalysis, storage, optics, chemo sensing, and biomedical science and technology. Over the past decades, researchers have utilized various techniques, including solvo...

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Main Authors: Narayanamurthy, Vigneswaran, Shankar, Futane Abhishek, Jadhav, Pramod, Mustafa, Abu Hasnat, Srinivasan, Arthi
Format: Article
Language:English
Published: Springer Science and Business Media B.V. 2024
Online Access:http://eprints.utem.edu.my/id/eprint/27479/2/0263114052024104613.PDF
http://eprints.utem.edu.my/id/eprint/27479/
https://link.springer.com/article/10.1007/s10529-023-03454-z
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spelling my.utem.eprints.274792024-07-25T11:26:55Z http://eprints.utem.edu.my/id/eprint/27479/ Aptamer-functionalized MOFs and AI-driven strategies for early cancer diagnosis and therapeutics Narayanamurthy, Vigneswaran Shankar, Futane Abhishek Jadhav, Pramod Mustafa, Abu Hasnat Srinivasan, Arthi Metal–Organic Frameworks (MOFs) have exceptional inherent properties that make them highly suitable for diverse applications, such as catalysis, storage, optics, chemo sensing, and biomedical science and technology. Over the past decades, researchers have utilized various techniques, including solvothermal, hydrothermal, mechanochemical, electrochemical, and ultrasonic, to synthesize MOFs with tailored properties. Post-synthetic modification of linkers, nodal components, and crystallite domain size and morphology can functionalize MOFs to improve their aptamer applications. Advancements in AI and machine learning led to the development of nonporous MOFs and nanoscale MOFs for medical purposes. MOFs have exhibited promise in cancer therapy, with the successful accumulation of a photosensitizer in cancer cells representing a significant breakthrough. This perspective is focused on MOFs' use as advanced materials and systems for cancer therapy, exploring the challenging aspects and promising features of MOF-based cancer diagnosis and treatment. The paper concludes by emphasizing the potential of MOFs as a transformative technology for cancer treatment and diagnosis. Graphical abstract: [Figure not available: see fulltext.]. Springer Science and Business Media B.V. 2024-02 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/27479/2/0263114052024104613.PDF Narayanamurthy, Vigneswaran and Shankar, Futane Abhishek and Jadhav, Pramod and Mustafa, Abu Hasnat and Srinivasan, Arthi (2024) Aptamer-functionalized MOFs and AI-driven strategies for early cancer diagnosis and therapeutics. Biotechnology Letters, 46 (1). pp. 1-17. ISSN 0141-5492 https://link.springer.com/article/10.1007/s10529-023-03454-z 10.1007/s10529-023-03454-z
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description Metal–Organic Frameworks (MOFs) have exceptional inherent properties that make them highly suitable for diverse applications, such as catalysis, storage, optics, chemo sensing, and biomedical science and technology. Over the past decades, researchers have utilized various techniques, including solvothermal, hydrothermal, mechanochemical, electrochemical, and ultrasonic, to synthesize MOFs with tailored properties. Post-synthetic modification of linkers, nodal components, and crystallite domain size and morphology can functionalize MOFs to improve their aptamer applications. Advancements in AI and machine learning led to the development of nonporous MOFs and nanoscale MOFs for medical purposes. MOFs have exhibited promise in cancer therapy, with the successful accumulation of a photosensitizer in cancer cells representing a significant breakthrough. This perspective is focused on MOFs' use as advanced materials and systems for cancer therapy, exploring the challenging aspects and promising features of MOF-based cancer diagnosis and treatment. The paper concludes by emphasizing the potential of MOFs as a transformative technology for cancer treatment and diagnosis. Graphical abstract: [Figure not available: see fulltext.].
format Article
author Narayanamurthy, Vigneswaran
Shankar, Futane Abhishek
Jadhav, Pramod
Mustafa, Abu Hasnat
Srinivasan, Arthi
spellingShingle Narayanamurthy, Vigneswaran
Shankar, Futane Abhishek
Jadhav, Pramod
Mustafa, Abu Hasnat
Srinivasan, Arthi
Aptamer-functionalized MOFs and AI-driven strategies for early cancer diagnosis and therapeutics
author_facet Narayanamurthy, Vigneswaran
Shankar, Futane Abhishek
Jadhav, Pramod
Mustafa, Abu Hasnat
Srinivasan, Arthi
author_sort Narayanamurthy, Vigneswaran
title Aptamer-functionalized MOFs and AI-driven strategies for early cancer diagnosis and therapeutics
title_short Aptamer-functionalized MOFs and AI-driven strategies for early cancer diagnosis and therapeutics
title_full Aptamer-functionalized MOFs and AI-driven strategies for early cancer diagnosis and therapeutics
title_fullStr Aptamer-functionalized MOFs and AI-driven strategies for early cancer diagnosis and therapeutics
title_full_unstemmed Aptamer-functionalized MOFs and AI-driven strategies for early cancer diagnosis and therapeutics
title_sort aptamer-functionalized mofs and ai-driven strategies for early cancer diagnosis and therapeutics
publisher Springer Science and Business Media B.V.
publishDate 2024
url http://eprints.utem.edu.my/id/eprint/27479/2/0263114052024104613.PDF
http://eprints.utem.edu.my/id/eprint/27479/
https://link.springer.com/article/10.1007/s10529-023-03454-z
_version_ 1806429973546795008
score 13.211869

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