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Incubating Green Synthesized Iron Oxide Nanorods for Proteomics-Derived Motif Exploration: A Fusion to Deep Learning Oncogenesis

[Image: see text] The nanotechnological arena has revolutionized the diagnostic efficacies by investigating the protein corona. This displays provoking proficiencies in determining biomarkers and diagnostic fingerprints for early detection and advanced therapeutics. The green synthesized iron oxide...

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Autores principales: Manzoor, Yasmeen, Hasan, Murtaza, Zafar, Ayesha, Dilshad, Momina, Ahmed, Muhammad Mahmood, Tariq, Tuba, Hassan, Shahzad Gul, Hassan, Shahbaz Gul, Shaheen, Aqeela, Caprioli, Giovanni, Shu, Xugang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798745/
https://www.ncbi.nlm.nih.gov/pubmed/36591177
http://dx.doi.org/10.1021/acsomega.2c05948
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author Manzoor, Yasmeen
Hasan, Murtaza
Zafar, Ayesha
Dilshad, Momina
Ahmed, Muhammad Mahmood
Tariq, Tuba
Hassan, Shahzad Gul
Hassan, Shahbaz Gul
Shaheen, Aqeela
Caprioli, Giovanni
Shu, Xugang
author_facet Manzoor, Yasmeen
Hasan, Murtaza
Zafar, Ayesha
Dilshad, Momina
Ahmed, Muhammad Mahmood
Tariq, Tuba
Hassan, Shahzad Gul
Hassan, Shahbaz Gul
Shaheen, Aqeela
Caprioli, Giovanni
Shu, Xugang
author_sort Manzoor, Yasmeen
collection PubMed
description [Image: see text] The nanotechnological arena has revolutionized the diagnostic efficacies by investigating the protein corona. This displays provoking proficiencies in determining biomarkers and diagnostic fingerprints for early detection and advanced therapeutics. The green synthesized iron oxide nanoparticles were prepared via Withania coagulans and were well characterized using UV–visible spectroscopy, X-ray diffraction analysis, Fourier transform infrared spectroscopy, and nano-LC mass spectrophotometry. Iron oxides were rod-shaped with an average size of 17.32 nm and have crystalline properties. The as-synthesized nanotool mediated firm nano biointeraction with the proteins in treatment with nine different cancers. The resultant of the proteome series was filtered oddly that highlighted the variant proteins within the differentially expressed proteins on behalf of nano-bioinformatics. Further magnification focused on S13_N, RS15, RAB, and 14_3_3 domains and few abundant motifs that aid scanning biomarkers. The entire set of variant proteins contracting to common proteins elucidates the underlining mechanical proteins that are marginally assessed using the robotic nanotechnology. Additionally, the iron rods indirectly possess a prognostic effect in manipulating expression of proteins through a smarter route. Thereby, such biologically designed nanotools provide a dual approach for medical studies.
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spelling pubmed-97987452022-12-30 Incubating Green Synthesized Iron Oxide Nanorods for Proteomics-Derived Motif Exploration: A Fusion to Deep Learning Oncogenesis Manzoor, Yasmeen Hasan, Murtaza Zafar, Ayesha Dilshad, Momina Ahmed, Muhammad Mahmood Tariq, Tuba Hassan, Shahzad Gul Hassan, Shahbaz Gul Shaheen, Aqeela Caprioli, Giovanni Shu, Xugang ACS Omega [Image: see text] The nanotechnological arena has revolutionized the diagnostic efficacies by investigating the protein corona. This displays provoking proficiencies in determining biomarkers and diagnostic fingerprints for early detection and advanced therapeutics. The green synthesized iron oxide nanoparticles were prepared via Withania coagulans and were well characterized using UV–visible spectroscopy, X-ray diffraction analysis, Fourier transform infrared spectroscopy, and nano-LC mass spectrophotometry. Iron oxides were rod-shaped with an average size of 17.32 nm and have crystalline properties. The as-synthesized nanotool mediated firm nano biointeraction with the proteins in treatment with nine different cancers. The resultant of the proteome series was filtered oddly that highlighted the variant proteins within the differentially expressed proteins on behalf of nano-bioinformatics. Further magnification focused on S13_N, RS15, RAB, and 14_3_3 domains and few abundant motifs that aid scanning biomarkers. The entire set of variant proteins contracting to common proteins elucidates the underlining mechanical proteins that are marginally assessed using the robotic nanotechnology. Additionally, the iron rods indirectly possess a prognostic effect in manipulating expression of proteins through a smarter route. Thereby, such biologically designed nanotools provide a dual approach for medical studies. American Chemical Society 2022-12-12 /pmc/articles/PMC9798745/ /pubmed/36591177 http://dx.doi.org/10.1021/acsomega.2c05948 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Manzoor, Yasmeen
Hasan, Murtaza
Zafar, Ayesha
Dilshad, Momina
Ahmed, Muhammad Mahmood
Tariq, Tuba
Hassan, Shahzad Gul
Hassan, Shahbaz Gul
Shaheen, Aqeela
Caprioli, Giovanni
Shu, Xugang
Incubating Green Synthesized Iron Oxide Nanorods for Proteomics-Derived Motif Exploration: A Fusion to Deep Learning Oncogenesis
title Incubating Green Synthesized Iron Oxide Nanorods for Proteomics-Derived Motif Exploration: A Fusion to Deep Learning Oncogenesis
title_full Incubating Green Synthesized Iron Oxide Nanorods for Proteomics-Derived Motif Exploration: A Fusion to Deep Learning Oncogenesis
title_fullStr Incubating Green Synthesized Iron Oxide Nanorods for Proteomics-Derived Motif Exploration: A Fusion to Deep Learning Oncogenesis
title_full_unstemmed Incubating Green Synthesized Iron Oxide Nanorods for Proteomics-Derived Motif Exploration: A Fusion to Deep Learning Oncogenesis
title_short Incubating Green Synthesized Iron Oxide Nanorods for Proteomics-Derived Motif Exploration: A Fusion to Deep Learning Oncogenesis
title_sort incubating green synthesized iron oxide nanorods for proteomics-derived motif exploration: a fusion to deep learning oncogenesis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798745/
https://www.ncbi.nlm.nih.gov/pubmed/36591177
http://dx.doi.org/10.1021/acsomega.2c05948
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