COSMO-RS based prediction and screening of antimicrobial activities of Deep Eutectic Solvents

Abstract A total of 18 different deep eutectic solvents (DESs) were thoroughly analyzed in this extensive study employing the most recent advances in COSMORS (Conductor-like Screening Model for Real Solvents) analytical approach. To establish a broad and representative sample for the study, these...

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Main Authors: Alafandi, Lama, Elgharbawy, Amal A.M., Khan, Huma Warsi, Amid, Azura
Format: Book Chapter
Language:English
English
Published: Springer Nature 2024
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Online Access:http://irep.iium.edu.my/110166/19/110166_%20COSMO-RS%20based%20prediction%20and%20screening%20of%20antimicrobial%20activities.pdf
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spelling my.iium.irep.1101662024-03-01T09:21:31Z http://irep.iium.edu.my/110166/ COSMO-RS based prediction and screening of antimicrobial activities of Deep Eutectic Solvents Alafandi, Lama Elgharbawy, Amal A.M. Khan, Huma Warsi Amid, Azura QD Chemistry RS Pharmacy and materia medica Abstract A total of 18 different deep eutectic solvents (DESs) were thoroughly analyzed in this extensive study employing the most recent advances in COSMORS (Conductor-like Screening Model for Real Solvents) analytical approach. To establish a broad and representative sample for the study, these DESs were carefully chosen and made up of a range of substances, including urea, thymol, menthol, and six different fatty acids. This study’s main goal was to examine the various DESs’ antibacterial capabilities by examining how they interacted with bacterial cells. The study concentrated on looking at how the DESs interacted with four crucial bacterial cell components in order to accomplish this aim. Components were 2,6- diaminopimelic acid, N-acetyl-a-neuraminic acid, N-acetyl-muramic acid, and Nacetyl- D-glucosamine. These elements were chosen because they play important roles in the construction and operation of bacterial cells. The results of the research showed that the advanced σ-profiling and σ-potential assessments offered useful information on the most interactive and successful DESs against microbial cells. Decanoic acid-based solvents showed the most effectiveness in interacting with the chosen bacterial cell components among the 18 DESs tested. This study’s significance and effects go beyond its immediate conclusions. In order to save resources in creating new antimicrobial drugs, this study provides a simplified method for screening biological components. Furthermore, this research opens doors for further investigation and potential applications of these solvents in the fight against drugresistant bacteria and the development of new therapeutic approaches for treating infectious diseases by identifying Decanoic acid-based DESs as potent antimicrobial candidates. Springer Nature 2024 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/110166/19/110166_%20COSMO-RS%20based%20prediction%20and%20screening%20of%20antimicrobial%20activities.pdf application/pdf en http://irep.iium.edu.my/110166/25/110166_%20COSMO-RS%20based%20prediction%20and%20screening%20of%20antimicrobial%20activities_Scopus.pdf Alafandi, Lama and Elgharbawy, Amal A.M. and Khan, Huma Warsi and Amid, Azura (2024) COSMO-RS based prediction and screening of antimicrobial activities of Deep Eutectic Solvents. In: AI and Business, and Innovation Research: Understanding the Potential and Risks of AI for Modern Enterprises. Studies in Systems, Decision and Control (440). Springer Nature, Switzerland, pp. 509-517. ISBN 978-3-031-42084-9 https://link.springer.com/chapter/10.1007/978-3-031-42085-6_43 https://doi.org/10.1007/978-3-031-42085-6_43
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic QD Chemistry
RS Pharmacy and materia medica
spellingShingle QD Chemistry
RS Pharmacy and materia medica
Alafandi, Lama
Elgharbawy, Amal A.M.
Khan, Huma Warsi
Amid, Azura
COSMO-RS based prediction and screening of antimicrobial activities of Deep Eutectic Solvents
description Abstract A total of 18 different deep eutectic solvents (DESs) were thoroughly analyzed in this extensive study employing the most recent advances in COSMORS (Conductor-like Screening Model for Real Solvents) analytical approach. To establish a broad and representative sample for the study, these DESs were carefully chosen and made up of a range of substances, including urea, thymol, menthol, and six different fatty acids. This study’s main goal was to examine the various DESs’ antibacterial capabilities by examining how they interacted with bacterial cells. The study concentrated on looking at how the DESs interacted with four crucial bacterial cell components in order to accomplish this aim. Components were 2,6- diaminopimelic acid, N-acetyl-a-neuraminic acid, N-acetyl-muramic acid, and Nacetyl- D-glucosamine. These elements were chosen because they play important roles in the construction and operation of bacterial cells. The results of the research showed that the advanced σ-profiling and σ-potential assessments offered useful information on the most interactive and successful DESs against microbial cells. Decanoic acid-based solvents showed the most effectiveness in interacting with the chosen bacterial cell components among the 18 DESs tested. This study’s significance and effects go beyond its immediate conclusions. In order to save resources in creating new antimicrobial drugs, this study provides a simplified method for screening biological components. Furthermore, this research opens doors for further investigation and potential applications of these solvents in the fight against drugresistant bacteria and the development of new therapeutic approaches for treating infectious diseases by identifying Decanoic acid-based DESs as potent antimicrobial candidates.
format Book Chapter
author Alafandi, Lama
Elgharbawy, Amal A.M.
Khan, Huma Warsi
Amid, Azura
author_facet Alafandi, Lama
Elgharbawy, Amal A.M.
Khan, Huma Warsi
Amid, Azura
author_sort Alafandi, Lama
title COSMO-RS based prediction and screening of antimicrobial activities of Deep Eutectic Solvents
title_short COSMO-RS based prediction and screening of antimicrobial activities of Deep Eutectic Solvents
title_full COSMO-RS based prediction and screening of antimicrobial activities of Deep Eutectic Solvents
title_fullStr COSMO-RS based prediction and screening of antimicrobial activities of Deep Eutectic Solvents
title_full_unstemmed COSMO-RS based prediction and screening of antimicrobial activities of Deep Eutectic Solvents
title_sort cosmo-rs based prediction and screening of antimicrobial activities of deep eutectic solvents
publisher Springer Nature
publishDate 2024
url http://irep.iium.edu.my/110166/19/110166_%20COSMO-RS%20based%20prediction%20and%20screening%20of%20antimicrobial%20activities.pdf
http://irep.iium.edu.my/110166/25/110166_%20COSMO-RS%20based%20prediction%20and%20screening%20of%20antimicrobial%20activities_Scopus.pdf
http://irep.iium.edu.my/110166/
https://link.springer.com/chapter/10.1007/978-3-031-42085-6_43
https://doi.org/10.1007/978-3-031-42085-6_43
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