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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: Futane, Abhishek, Jadhav, Pramod, Mustafa, Abu Hasnat, Srinivasan, Arthi, Narayanamurthy, Vigneswaran
Format: Article
Language:English
English
Published: Springer Science and Business Media B.V. 2024
Subjects:
Q Science (General)
QD Chemistry
T Technology (General)
TA Engineering (General). Civil engineering (General)
TP Chemical technology
Online Access:http://umpir.ump.edu.my/id/eprint/41289/1/Aptamer-functionalized%20MOFs%20and%20AI-driven%20strategies%20for%20early%20cancer.pdf
http://umpir.ump.edu.my/id/eprint/41289/2/Aptamer%E2%80%91functionalized%20MOFs%20and%20AI%E2%80%91driven%20strategies%20for%20early%20cancer%20diagnosis%20and%20therapeutics_ABS.pdf
http://umpir.ump.edu.my/id/eprint/41289/
https://doi.org/10.1007/s10529-023-03454-z
https://doi.org/10.1007/s10529-023-03454-z
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spelling my.ump.umpir.412892024-06-10T03:12:37Z http://umpir.ump.edu.my/id/eprint/41289/ Aptamer‑functionalized MOFs and AI‑driven strategies for early cancer diagnosis and therapeutics Futane, Abhishek Jadhav, Pramod Mustafa, Abu Hasnat Srinivasan, Arthi Narayanamurthy, Vigneswaran Q Science (General) QD Chemistry T Technology (General) TA Engineering (General). Civil engineering (General) TP Chemical technology 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. Springer Science and Business Media B.V. 2024-02 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/41289/1/Aptamer-functionalized%20MOFs%20and%20AI-driven%20strategies%20for%20early%20cancer.pdf pdf en http://umpir.ump.edu.my/id/eprint/41289/2/Aptamer%E2%80%91functionalized%20MOFs%20and%20AI%E2%80%91driven%20strategies%20for%20early%20cancer%20diagnosis%20and%20therapeutics_ABS.pdf Futane, Abhishek and Jadhav, Pramod and Mustafa, Abu Hasnat and Srinivasan, Arthi and Narayanamurthy, Vigneswaran (2024) Aptamer‑functionalized MOFs and AI‑driven strategies for early cancer diagnosis and therapeutics. Biotechnology Letters, 46 (1). pp. 1-17. ISSN 0141-5492. (Published) https://doi.org/10.1007/s10529-023-03454-z https://doi.org/10.1007/s10529-023-03454-z
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic Q Science (General)
QD Chemistry
T Technology (General)
TA Engineering (General). Civil engineering (General)
TP Chemical technology
spellingShingle Q Science (General)
QD Chemistry
T Technology (General)
TA Engineering (General). Civil engineering (General)
TP Chemical technology
Futane, Abhishek
Jadhav, Pramod
Mustafa, Abu Hasnat
Srinivasan, Arthi
Narayanamurthy, Vigneswaran
Aptamer‑functionalized MOFs and AI‑driven strategies for early cancer diagnosis and therapeutics
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.
format Article
author Futane, Abhishek
Jadhav, Pramod
Mustafa, Abu Hasnat
Srinivasan, Arthi
Narayanamurthy, Vigneswaran
author_facet Futane, Abhishek
Jadhav, Pramod
Mustafa, Abu Hasnat
Srinivasan, Arthi
Narayanamurthy, Vigneswaran
author_sort Futane, Abhishek
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://umpir.ump.edu.my/id/eprint/41289/1/Aptamer-functionalized%20MOFs%20and%20AI-driven%20strategies%20for%20early%20cancer.pdf
http://umpir.ump.edu.my/id/eprint/41289/2/Aptamer%E2%80%91functionalized%20MOFs%20and%20AI%E2%80%91driven%20strategies%20for%20early%20cancer%20diagnosis%20and%20therapeutics_ABS.pdf
http://umpir.ump.edu.my/id/eprint/41289/
https://doi.org/10.1007/s10529-023-03454-z
https://doi.org/10.1007/s10529-023-03454-z
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score 13.232414

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