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Herbal concoction Unveiled: A computational analysis of phytochemicals' pharmacokinetic and toxicological profiles using novel approach methodologies (NAMs)
Herbal medications have an extensive history of use in treating various diseases, attributed to their perceived efficacy and safety. Traditional medicine practitioners and contemporary healthcare providers have shown particular interest in herbal syrups, especially for respiratory illnesses associat...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10440360/ https://www.ncbi.nlm.nih.gov/pubmed/37609475 http://dx.doi.org/10.1016/j.crtox.2023.100118 |
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author | Rai, Mansi Singh, Ajay Vikram Paudel, Namuna Kanase, Anurag Falletta, Ermelinda Kerkar, Pranali Heyda, Jan Barghash, Reham F. Pratap Singh, Shubham Soos, Miroslav |
author_facet | Rai, Mansi Singh, Ajay Vikram Paudel, Namuna Kanase, Anurag Falletta, Ermelinda Kerkar, Pranali Heyda, Jan Barghash, Reham F. Pratap Singh, Shubham Soos, Miroslav |
author_sort | Rai, Mansi |
collection | PubMed |
description | Herbal medications have an extensive history of use in treating various diseases, attributed to their perceived efficacy and safety. Traditional medicine practitioners and contemporary healthcare providers have shown particular interest in herbal syrups, especially for respiratory illnesses associated with the SARS-CoV-2 virus. However, the current understanding of the pharmacokinetic and toxicological properties of phytochemicals in these herbal mixtures is limited. This study presents a comprehensive computational analysis utilizing novel approach methodologies (NAMs) to investigate the pharmacokinetic and toxicological profiles of phytochemicals in herbal syrup, leveraging in-silico techniques and prediction tools such as PubChem, SwissADME, and Molsoft's database. Although molecular dynamics, docking, and broader system-wide analyses were not considered, future studies hold potential for further investigation in these areas. By combining drug-likeness with molecular simulation, researchers identify diverse phytochemicals suitable for complex medication development examining their pharmacokinetic-toxicological profiles in phytopharmaceutical syrup. The study focuses on herbal solutions for respiratory infections, with the goal of adding to the pool of all-natural treatments for such ailments. This research has the potential to revolutionize environmental and alternative medicine by leveraging in-silico models and innovative analytical techniques to identify novel phytochemicals with enhanced therapeutic benefits and explore network-based and systems biology approaches for a deeper understanding of their interactions with biological systems. Overall, our study offers valuable insights into the computational analysis of the pharmacokinetic and toxicological profiles of herbal concoction. This paves the way for advancements in environmental and alternative medicine. However, we acknowledge the need for future studies to address the aforementioned topics that were not adequately covered in this research. |
format | Online Article Text |
id | pubmed-10440360 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-104403602023-08-22 Herbal concoction Unveiled: A computational analysis of phytochemicals' pharmacokinetic and toxicological profiles using novel approach methodologies (NAMs) Rai, Mansi Singh, Ajay Vikram Paudel, Namuna Kanase, Anurag Falletta, Ermelinda Kerkar, Pranali Heyda, Jan Barghash, Reham F. Pratap Singh, Shubham Soos, Miroslav Curr Res Toxicol Articles from the special issue on Natural products and their derivatives: new approaches and technologies for toxicological assessment and remediation edited by Carlos Cespedes,GökhanZengin, Zhao-Jun Wei and Jaime R Cabrera-Pardo Herbal medications have an extensive history of use in treating various diseases, attributed to their perceived efficacy and safety. Traditional medicine practitioners and contemporary healthcare providers have shown particular interest in herbal syrups, especially for respiratory illnesses associated with the SARS-CoV-2 virus. However, the current understanding of the pharmacokinetic and toxicological properties of phytochemicals in these herbal mixtures is limited. This study presents a comprehensive computational analysis utilizing novel approach methodologies (NAMs) to investigate the pharmacokinetic and toxicological profiles of phytochemicals in herbal syrup, leveraging in-silico techniques and prediction tools such as PubChem, SwissADME, and Molsoft's database. Although molecular dynamics, docking, and broader system-wide analyses were not considered, future studies hold potential for further investigation in these areas. By combining drug-likeness with molecular simulation, researchers identify diverse phytochemicals suitable for complex medication development examining their pharmacokinetic-toxicological profiles in phytopharmaceutical syrup. The study focuses on herbal solutions for respiratory infections, with the goal of adding to the pool of all-natural treatments for such ailments. This research has the potential to revolutionize environmental and alternative medicine by leveraging in-silico models and innovative analytical techniques to identify novel phytochemicals with enhanced therapeutic benefits and explore network-based and systems biology approaches for a deeper understanding of their interactions with biological systems. Overall, our study offers valuable insights into the computational analysis of the pharmacokinetic and toxicological profiles of herbal concoction. This paves the way for advancements in environmental and alternative medicine. However, we acknowledge the need for future studies to address the aforementioned topics that were not adequately covered in this research. Elsevier 2023-08-12 /pmc/articles/PMC10440360/ /pubmed/37609475 http://dx.doi.org/10.1016/j.crtox.2023.100118 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Articles from the special issue on Natural products and their derivatives: new approaches and technologies for toxicological assessment and remediation edited by Carlos Cespedes,GökhanZengin, Zhao-Jun Wei and Jaime R Cabrera-Pardo Rai, Mansi Singh, Ajay Vikram Paudel, Namuna Kanase, Anurag Falletta, Ermelinda Kerkar, Pranali Heyda, Jan Barghash, Reham F. Pratap Singh, Shubham Soos, Miroslav Herbal concoction Unveiled: A computational analysis of phytochemicals' pharmacokinetic and toxicological profiles using novel approach methodologies (NAMs) |
title | Herbal concoction Unveiled: A computational analysis of phytochemicals' pharmacokinetic and toxicological profiles using novel approach methodologies (NAMs) |
title_full | Herbal concoction Unveiled: A computational analysis of phytochemicals' pharmacokinetic and toxicological profiles using novel approach methodologies (NAMs) |
title_fullStr | Herbal concoction Unveiled: A computational analysis of phytochemicals' pharmacokinetic and toxicological profiles using novel approach methodologies (NAMs) |
title_full_unstemmed | Herbal concoction Unveiled: A computational analysis of phytochemicals' pharmacokinetic and toxicological profiles using novel approach methodologies (NAMs) |
title_short | Herbal concoction Unveiled: A computational analysis of phytochemicals' pharmacokinetic and toxicological profiles using novel approach methodologies (NAMs) |
title_sort | herbal concoction unveiled: a computational analysis of phytochemicals' pharmacokinetic and toxicological profiles using novel approach methodologies (nams) |
topic | Articles from the special issue on Natural products and their derivatives: new approaches and technologies for toxicological assessment and remediation edited by Carlos Cespedes,GökhanZengin, Zhao-Jun Wei and Jaime R Cabrera-Pardo |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10440360/ https://www.ncbi.nlm.nih.gov/pubmed/37609475 http://dx.doi.org/10.1016/j.crtox.2023.100118 |
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