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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...

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Autores principales: Rai, Mansi, Singh, Ajay Vikram, Paudel, Namuna, Kanase, Anurag, Falletta, Ermelinda, Kerkar, Pranali, Heyda, Jan, Barghash, Reham F., Pratap Singh, Shubham, Soos, Miroslav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
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.
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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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